Zehra Gulten Yalcın | Renewable Energy | Best Researcher Award

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Best Researcher Award

Zehra Gulten Yalcın — Çankırı Karatekin University, Turkey

Zehra Gulten Yalcın
Affiliation Çankırı Karatekin University
Country Turkey
Scopus ID 6603311969
Documents 8
Citations 60
h-index 5
Subject Area Renewable Energy
Event Technology Scientists Awards
ORCID 0000-0001-5460-289X

Zehra Gülten Yalçın is a researcher affiliated with Çankırı Karatekin University whose scholarly work addresses sustainable engineering, renewable-energy-related processes, industrial waste valorization, corrosion inhibition, polymer composites, and anaerobic digestion. Her recent publications demonstrate an interdisciplinary approach combining experimental investigation, materials characterization, optimization, and data-driven analysis in applied engineering research. [1] [2] [3]

Abstract

Zehra Gülten Yalçın is an engineering researcher at Çankırı Karatekin University whose recent scholarly activities connect sustainable materials, waste utilization, corrosion control, anaerobic digestion, and renewable-energy-oriented engineering. Her publications examine industrial waste in polymer composites, environmentally compatible corrosion inhibition, and optimization of biogas production using experimental and response-surface methodologies. These studies demonstrate an applied research orientation focused on converting industrial and biological waste streams into useful engineering outcomes while improving process performance and sustainability. Her work also incorporates characterization, optimization, and analytical methods to investigate material behavior and energy-related processes. [1] [2] [3]

Keywords

  • Renewable Energy
  • Sustainable Engineering
  • Industrial Waste Valorization
  • Polymer Composites
  • Corrosion Inhibition
  • Anaerobic Digestion
  • Biogas Production
  • Process Optimization

Introduction

Zehra Gülten Yalçın’s research is situated within sustainable chemical and environmental engineering, with particular relevance to waste utilization and energy-related processes. Her recent studies investigate polymer composites containing industrial waste, natural corrosion inhibitors, and anaerobic digestion systems, reflecting practical approaches to resource efficiency, materials performance, and renewable-energy development. [1] [2] [3]

Research Profile

Yalçın’s research profile combines materials engineering, environmental processes, and sustainable energy applications. Her publications indicate experience with experimental methods, material characterization, process optimization, and quantitative analysis. The research addresses practical engineering problems involving industrial waste, corrosion protection, polymeric materials, and biological waste conversion, providing an interdisciplinary foundation for continued work in renewable and sustainable technologies. [1] [2] [3]

Research Contributions

Her contributions include investigation of industrial waste as functional fillers in polyurethane composites, evaluation of Turkish coffee extract as an environmentally oriented corrosion inhibitor, and optimization of anaerobic digestion for biogas generation. Together, these studies connect resource recovery, materials performance, environmental protection, and renewable-energy production through experimentally grounded engineering approaches and quantitative process analysis. [1] [2] [3]

Publications

Yalçın’s recent publication record includes studies spanning sustainable polymer composites, corrosion science, and anaerobic digestion. A 2026 article examined industrial waste incorporation into polyurethane composites and associated mechanical and thermal properties, while a 2025 study investigated Turkish coffee extract for corrosion inhibition. Another 2025 publication examined biogas optimization using response surface methodology. [1] [2] [3]

Research Impact

The practical orientation of Yalçın’s research provides potential value for sustainable manufacturing, environmental protection, and renewable-energy development. Her studies address waste-derived materials, greener corrosion-control strategies, and biological waste conversion into biogas. These themes align with broader efforts to improve resource efficiency and develop engineering solutions that reduce environmental burdens while supporting useful material and energy recovery. [1] [2] [3]

Award Suitability

Yalçın’s documented research activity is relevant to recognition in sustainable and renewable-energy-oriented research because her work integrates waste valorization, environmental engineering, materials development, and biogas production. Her publication portfolio demonstrates a coherent interest in practical sustainability challenges, supported by experimental investigation and analytical methods. These characteristics provide a reasonable academic basis for consideration for the Best Researcher Award. [1] [2] [3]

Conclusion

Zehra Gülten Yalçın’s recent scholarship demonstrates interdisciplinary engagement with sustainable engineering problems involving materials, waste, corrosion, and renewable-energy processes. Her research combines experimental studies with optimization and analytical approaches, contributing to applied knowledge in environmentally relevant engineering fields. The breadth and practical orientation of these publications support continued development within sustainable technology research. [1] [2] [3]

References

  1. Dağ, M., Aydoğmuş, E., Yalçın, Z. G., & Arslanoğlu, H. (2026). Valorization of industrial waste in polymer composites: Enhancing mechanical and thermal properties for insulation applications using machine learning analysis. Polymer Engineering & Science, 66(1), 470–486.
    https://doi.org/10.1002/pen.70230
  2. Hussein, M. Y., Yalçın, Z. G., Yaqoob, G. B., & Dağ, M. (2025). Investigation of the corrosion-inhibition effect of Turkish coffee extract on L-80 carbon steel in 15% HCl: Thermodynamic and surface analyses. Petroleum Science and Technology, 43(25), 3757–3795.
    https://doi.org/10.1080/10916466.2025.2536474
  3. Günay, K., & Yalçın, Z. G. (2025). Maximizing biogas yield in anaerobic digestion: A response surface methodology approach. Black Sea Journal of Engineering and Science, 8(4), 1103–1110.
    https://doi.org/10.34248/bsengineering.1683991
  4. Elsevier. (n.d.). Scopus author details: Zehra Gülten Yalçın, Author ID 6603311969. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6603311969
  5. ORCID. (n.d.). Zehra Gülten Yalçın: ORCID record 0000-0001-5460-289X. ORCID.
    https://orcid.org/0000-0001-5460-289X

Chengyu Liang | Renewable Energy | Innovative Research Award

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Innovative Research Award

Chengyu Liang
Lanzhou University of Technology, China
               Chengyu Liang
Affiliation Lanzhou University of Technology
Country China
Scopus ID 57469530600
Documents 3
Citations 22
h-index 2
Subject Area Renewable Energy
Event Technology Scientists Awards

Chengyu Liang is a researcher affiliated with Lanzhou University of Technology whose scholarly work focuses on renewable energy technologies and intelligent condition assessment of engineering systems. The available Scopus profile indicates a growing publication record with measurable citation impact, reflecting sustained academic contributions to reliability analysis, predictive maintenance, and energy-related engineering research.[1]

Abstract

Chengyu Liang has contributed to engineering research involving renewable energy applications, machinery health monitoring, degradation assessment, and intelligent predictive models. Current scholarly records demonstrate emerging influence through peer-reviewed publications indexed in Scopus and measurable citation performance. Research activities emphasize adaptive state-space modelling, prediction error correction, and reliability evaluation for mechanical systems supporting sustainable engineering development. These studies combine mathematical modelling with practical engineering applications to improve equipment performance, operational efficiency, maintenance planning, and long-term system reliability. The available publication record reflects continuing academic development and meaningful contributions within renewable energy and engineering research communities.[1][2]

Keywords

Renewable Energy, Mechanical Systems, Performance Degradation, State-Space Model, Predictive Maintenance, Reliability Engineering, Adaptive Modeling, Engineering Diagnostics.

Introduction

Chengyu Liang conducts engineering research centered on renewable energy and intelligent mechanical system analysis. Published studies investigate advanced degradation assessment methodologies using adaptive mathematical models that improve equipment reliability, operational efficiency, and predictive maintenance while supporting sustainable engineering practices and modern industrial applications.[2]

Research Profile

According to publicly available Scopus records, Chengyu Liang has authored three indexed publications that have received twenty-two citations with an h-index of two. The research portfolio reflects specialization in engineering diagnostics, renewable energy technologies, reliability assessment, and predictive analytical modelling.[1]

Research Contributions

Research contributions include developing adaptive state-space approaches for evaluating mechanical performance degradation using prediction error correction techniques. These methods enhance condition monitoring accuracy, facilitate maintenance decision-making, and improve reliability evaluation across engineering systems supporting renewable energy and industrial sustainability objectives.[2]

Publications

The publication record includes peer-reviewed research focused on degradation assessment methodologies for mechanical systems. A representative article presents a dual adaptive drift coefficient state-space model integrated with autocorrelation prediction error correction, demonstrating practical applications in engineering reliability and intelligent equipment monitoring.[2]

Research Impact

Citation metrics and indexed publications indicate growing academic recognition within engineering research. The integration of predictive modelling with mechanical system assessment contributes valuable knowledge supporting efficient maintenance strategies, equipment longevity, and sustainable industrial operations in renewable energy and manufacturing environments.[1]

Award Suitability

The Innovative Research Award recognizes researchers demonstrating originality, measurable scholarly contributions, and practical engineering significance. Chengyu Liang’s research on adaptive degradation assessment and predictive maintenance aligns with these principles by advancing analytical methodologies applicable to renewable energy and engineering reliability studies.[2]

Conclusion

Chengyu Liang has established an emerging research profile through focused engineering investigations addressing renewable energy, reliability assessment, and intelligent predictive modelling. Available scholarly evidence indicates continuing academic development, making this body of work an appropriate example of innovative engineering research recognized through academic award evaluation.[1]

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Chengyu Liang, Author ID 57469530600. Scopus.
    https://www.scopus.com/pages/authors/57469530600
  2. Liang, C., et al. (2025). Performance degradation assessment of mechanical system based on dual adaptive drift coefficient state-space model with autocorrelation prediction error correction. Mechanical Systems and Signal Processing. Elsevier.
    https://www.sciencedirect.com/science/article/abs/pii/S0888327025015055
  3. Technology Scientists Awards. (n.d.). Technology Scientists Awards official website.
    https://technologyscientists.com/

Marina Gravit | Sustainable Tech | Women Researcher Award

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Women Researcher Award

Marina Gravit
Peter the Great St.Petersburg Polytechnic University

                             Marina Gravit
Affiliation Peter the Great St.Petersburg Polytechnic University
Country Russia
Scopus ID 56826013600
Documents 104
Citations 780
h-index 15
Subject Area Sustainable Tech
Event Technology Scientists Awards
ORCID 0000-0003-1071-427X

Marina Gravit is a researcher affiliated with Peter the Great St.Petersburg Polytechnic University whose scholarly work focuses on fire safety engineering, sustainable construction materials, structural fire resistance, and passive fire protection technologies. Her research contributes to the advancement of resilient infrastructure and evidence-based approaches for improving building safety under severe fire conditions.[1]

Abstract

This article presents an overview of Marina Gravit’s academic profile, emphasizing her contributions to fire resistance engineering, passive fire protection systems, and sustainable construction technologies. Her publications address critical challenges in structural safety, predictive fire resistance assessment, and the application of advanced protective materials for industrial and civil infrastructure.[1][2]

Keywords

Fire Resistance, Structural Engineering, Passive Fire Protection, Sustainable Construction, Fire Safety Materials, Hydrocarbon Fire Conditions, Steel Structures, Building Safety, Fire Protection Engineering, Sustainable Technology.

Introduction

Marina Gravit’s research addresses contemporary challenges in fire safety engineering through studies of fire-resistant materials, structural performance, and protective technologies. Her work integrates sustainability and engineering reliability, supporting safer infrastructure development while advancing scientific understanding of fire behavior and protection strategies in modern construction environments.[1]

Research Profile

As a scholar in fire safety and construction engineering, Marina Gravit has developed a substantial publication record focused on building resilience, fire protection materials, and structural safety assessment. Her interdisciplinary approach combines engineering analysis, material science, and sustainability principles to address practical and scientific challenges.[1][3]

Research Contributions

Her contributions include investigations of passive fire protection systems, bibliometric analyses of fire-resistant construction technologies, and predictive methodologies for assessing steel structures under hydrocarbon fire exposure. These studies support evidence-based engineering decisions and contribute to enhanced safety standards in industrial and commercial infrastructure.[2][3]

Publications

Notable publications examine fire resistance in building structures, passive protection materials for steel systems exposed to jet fires, and forecasting models for structural performance during hydrocarbon fire scenarios. These works provide valuable insights into fire engineering design, safety optimization, and protective material evaluation.[1][2][3]

Research Impact

The impact of Marina Gravit’s research is reflected in scholarly citations, practical relevance to fire safety engineering, and contributions to safer structural design practices. Her studies support researchers, engineers, and policymakers seeking improved methodologies for fire resistance assessment and infrastructure protection.[1][3]

Award Suitability

Marina Gravit demonstrates strong suitability for the Women Researcher Award through her sustained scholarly productivity, international research visibility, and contributions to sustainable technology and fire safety engineering. Her work addresses critical societal challenges while advancing knowledge relevant to resilient and sustainable built environments.[1][2]

Conclusion

Marina Gravit’s academic achievements illustrate a commitment to advancing fire safety science, sustainable construction technologies, and structural resilience. Through influential research and practical engineering applications, she has contributed valuable knowledge supporting safer infrastructure and ongoing innovation within the field of sustainable technology.[1][3]

References

  1. Gravit, M., et al. (2025). Fire Resistance of Building Structures and Fire Protection Materials: Bibliometric Analysis. Fire, 8(1), 10.
    https://www.mdpi.com/2571-6255/8/1/10
  2. Gravit, M., et al. (2024). Impact of Jet Fires on Steel Structures: Application of Passive Fire Protection Materials. Fire, 7(8), 281.
    https://www.mdpi.com/2571-6255/7/8/281/review_report
  3. Gravit, M., et al. (2024). Oil and Gas Structures: Forecasting the Fire Resistance of Steel Structures with Fire Protection under Hydrocarbon Fire Conditions. Fire, 7(6), 173.
    https://www.mdpi.com/2571-6255/7/6/173
  4. Elsevier. (n.d.). Scopus author details: Marina Gravit, Author ID 56826013600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56826013600
  5. ORCID. (n.d.). Marina Gravit ORCID Record.
    https://orcid.org/0000-0003-1071-427X

Silvius Stanciu | Green Technologies | Green Tech Award

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Green Tech Award

Silvius Stanciu
Dunarea de Jos University of Galati, Romania

Silvius Stanciu
Affiliation Dunarea de Jos University of Galati
Country Romania
Scopus ID 57202534648
Documents 118
Citations 639
h-index 13
Subject Area Green Technologies
Event Technology Scientists Awards
ORCID 0000-0001-7697-0968

The Green Tech Award recognizes researchers contributing to sustainable technological innovation and environmentally responsible scientific advancement. Silvius Stanciu has developed research in food quality systems, environmental monitoring, sustainable packaging technologies, and resource management, supporting interdisciplinary progress in green technologies and food science research.[1]

Abstract

This article presents an overview of the academic contributions of Silvius Stanciu in the fields of green technologies, sustainable food systems, environmental quality management, and food packaging innovation. His interdisciplinary research supports modern scientific approaches for sustainability, technological efficiency, and environmental safety within food and agricultural systems.[1][2]

Keywords

Green technologies, food safety, HACCP, environmental sustainability, food packaging, nanoparticles, GIS monitoring, water contamination, anthocyanin extraction, sustainable innovation.

Introduction

Silvius Stanciu has contributed to research involving sustainable food technologies, environmental monitoring systems, and quality assurance methodologies. His academic work integrates green innovation principles with food science and environmental management, addressing technological challenges associated with sustainability, public health, and industrial modernization in contemporary scientific environments.[1]

Research Profile

The research profile of Silvius Stanciu includes food quality management systems, environmental safety, smart packaging technologies, and sustainable agricultural applications. His scholarly activities emphasize interdisciplinary approaches that combine technological innovation, quality control, environmental monitoring, and scientific evaluation for practical industrial and environmental solutions.[2]

Research Contributions

His research contributions include studies on HACCP systems, food packaging nanotechnologies, bioactive compound extraction, and GIS-based environmental assessments. These investigations support advancements in sustainable food production, contamination management, consumer safety, and innovative technological applications that align with modern green technology objectives.[1][3]

Publications

The publication record of Silvius Stanciu demonstrates consistent contributions to food technology, environmental sustainability, and scientific quality management. His publications address emerging issues in food safety systems, smart packaging materials, extraction optimization processes, and environmental monitoring technologies through interdisciplinary scientific methodologies.[2][3]

Research Impact

The research impact of Silvius Stanciu is reflected through citations, interdisciplinary collaborations, and applications in sustainable food systems and environmental technologies. His studies contribute to scientific understanding of quality management practices, environmental safety assessment, and green innovation strategies supporting sustainable industrial development.[3]

Award Suitability

Silvius Stanciu is considered suitable for the Green Tech Award due to his sustained academic involvement in environmentally responsible technologies, sustainable food management, and scientific innovation. His research aligns with the objectives of promoting technological advancement, environmental responsibility, and interdisciplinary sustainability-focused scientific development.[1][2]

Conclusion

The academic contributions of Silvius Stanciu demonstrate meaningful engagement with sustainable technologies, food quality systems, and environmental innovation. His interdisciplinary research activities continue to support scientific progress in green technologies, emphasizing practical applications, environmental sustainability, and technological modernization across food and environmental sciences.[3]

References

  1. Stanciu, S., & colleagues. (2022). Global trends and research hotspots on HACCP and modern quality management systems in the food industry. Foods, 11(4), 560.
    https://doi.org/10.3390/foods11040560
  2. Stanciu, S., & colleagues. (2021). Metal Oxide Nanoparticles in Food Packaging and Their Influence on Human Health. Materials, 14(17), 4972.
    https://doi.org/10.3390/ma14174972
  3. Stanciu, S., & colleagues. (2020). Optimizing of the extraction conditions for anthocyanin’s from purple corn flour (Zea mays L): Evidences on selected properties of optimized extract. Food Chemistry, 310, 125829.
    https://doi.org/10.1016/j.foodchem.2019.125829
  4. Elsevier. (n.d.). Scopus author details: Silvius Stanciu, Author ID 57202534648. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57202534648

Yucen Yuan | New energy | Research Excellence Award

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Mr. Yucen Yuan | New energy | Research Excellence Award

Lanzhou Jiaotong University | China

Mr. Yucen Yuan is an early-career researcher affiliated with Lanzhou Jiaotong University, China, with a focused research profile in intelligent fault diagnosis and data-driven condition monitoring of renewable energy systems. His work lies at the intersection of machine learning, optimization algorithms, and mechanical fault detection, with particular emphasis on wind turbine bearing health assessment. Yuan has authored 2 peer-reviewed publications, accumulating 1 citation to date and 1 h-index, reflecting emerging scholarly visibility. His 2025 article in Engineering Research Express introduces an improved dung beetle optimizer–enhanced LSTM framework, demonstrating methodological innovation in time-series fault diagnosis. This contribution highlights his expertise in deep learning optimization, signal analysis, and industrial predictive maintenance. Yuan has engaged in collaborative research, contributing as part of a small co-author network, and his work supports the reliability and sustainability of wind energy infrastructure. The societal impact of his research aligns with global clean energy goals by advancing intelligent monitoring technologies that reduce equipment failure, maintenance costs, and operational risks in renewable power systems.

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Featured Publications

Bellel Nadir | Renewable Energy | Best Researcher Award

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Prof. Bellel Nadir | Renewable Energy | Best Researcher Award

Dean | University of Constantine 1 | Algeria

Prof. Bellel Nadir is a multidisciplinary researcher specializing in sustainable materials, thermal–fluid systems, and energy-efficient engineering solutions. With a portfolio of 20 scientific publications, 126 citations and 7 h-index, his work advances bio-based construction materials and solar-driven thermal technologies. Notable contributions include the development of lightweight bio-concretes using agricultural waste and optimized CFD-based designs for solar concentrator systems. His research is strengthened by collaborations with more than 20 international co-authors, reflecting broad academic engagement. Bellel’s work supports global sustainability goals by promoting renewable-energy applications, valorizing biomass residues, and improving eco-friendly construction practices, thereby offering measurable environmental and societal benefits.

Citation Metrics (Scopus)

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Top 5 Featured Publications

Nuttapat Jittratorn | Renewable Energy | Best Researcher Award

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Mr. Nuttapat Jittratorn | Renewable Energy | Best Researcher Award

Ph.D. Candidate in Electrical Engineering, National Cheng Kung University, Taiwan.

Nuttapat Jittratorn is a passionate Ph.D. candidate in Electrical Engineering at National Cheng Kung University, Taiwan. With a deep-rooted commitment to renewable energy innovation, he has led over 10 collaborative projects across Taiwan and Japan, applying AI to enhance energy forecasting systems. His academic and industrial experience spans solar PV, wind power, and hybrid energy systems. Nuttapat’s interdisciplinary expertise merges machine learning with real-time deployment, helping industries such as TSMC and Delta Electronics optimize energy use. Recognized with the Best Oral Presentation Award at the 2025 IEEE IAS Annual Meeting, he also contributes to academic leadership as a session chair and student mentor. A forward-thinking researcher fluent in English and Thai, he continues to bridge research with sustainable industrial solutions.

🧾Author Profile

🎓 Education

Nuttapat Jittratorn began his academic journey at Kasetsart University, Thailand, earning a Bachelor of Engineering in Electrical Engineering (2014–2018). He then pursued his Master’s degree at National Chung Cheng University in Taiwan, where he deepened his focus on renewable energy systems and intelligent computation (2018–2021). Currently, he is a Ph.D. candidate in Electrical Engineering at National Cheng Kung University, Taiwan (2021–present). His doctoral research centers on enhancing the reliability and accuracy of energy forecasting using artificial intelligence. Throughout his studies, Nuttapat has maintained a strong interdisciplinary approach, integrating engineering principles with emerging technologies like deep learning and hybrid modeling. His academic path reflects a consistent commitment to solving global energy challenges through intelligent system design and applied machine learning in energy grids.

💼 Experience 

Since 2021, Nuttapat has played pivotal roles as Team Leader, Project Advisor, and Researcher across Taiwan and Japan. He has collaborated with leading institutions and corporations such as TSMC, Delta Electronics, FarEasTone Telecom, and the National Science and Technology Council. His work involves real-time AI-powered forecasting systems for solar, wind, and multi-load applications in power and steam. Nuttapat has led the development and deployment of models in real-world industrial settings, optimizing power generation and usage. As a Thesis Advisor at Ton Duc Thang University (2022–2023), he mentored students in AI-energy research and thesis defense preparation. His projects span Changhua, Hsinchu, Tainan, Taoyuan, and Kagoshima, showcasing his ability to drive innovation in dynamic, multinational environments.

🏅 Honors & Awards 

Nuttapat Jittratorn was awarded the Best Oral Presentation Award in the Renewable and Sustainable Energy Conversion track at the 2025 IEEE IAS Annual Meeting, recognizing his research impact in intelligent PV and wind power forecasting. Additionally, he served as the Session Chair at the same Award, a testament to his leadership and recognition in the energy research community. His collaborative research and advisory roles in academia and industry have positioned him as a standout researcher in applied energy systems. These achievements underscore his ability to produce not just high-quality publications, but also real-world, industry-transforming outcomes that align with global sustainability goals.

🔬 Research Focus 

Nuttapat’s research is centered on AI-based renewable energy forecasting. He develops intelligent models for very short-term and short-term prediction of solar PV and wind power generation. His focus includes hybrid techniques that combine LSTM, Markov models, and probabilistic correction based on environmental data like wind speed. He also explores energy storage integration, such as BESS (Battery Energy Storage Systems), to enhance operational efficiency. His work bridges data science and engineering, ensuring models are not only accurate in labs but also viable for real-world deployment in industrial energy management. His interdisciplinary projects support Taiwan and Japan’s energy industries in transitioning toward smarter and more reliable grid systems. His research is forward-looking, contributing directly to the goals of a low-carbon economy and sustainable industrial operations.

Publication Top Notes

1. A Hybrid Method for Hour-Ahead PV Output Forecast with Historical Data Clustering

Authors: N. Jittratorn, G.W. Chang, G.Y. Li
Conference: 2022 IET International Conference on Engineering Technologies
Citations: 4
Summary: This paper proposes a clustering-based hybrid model for predicting hour-ahead PV output. Historical meteorological data are clustered to create more accurate baseline patterns, improving forecast accuracy. The model has industrial applications for solar plant operation scheduling.

2. Very Short-Term Wind Power Forecasting Using a Hybrid LSTM-Markov Model Based on Corrected Wind Speed

Authors: A.N. Jittratorn, B.C.M. Huang, C.H.T. Yang
Journal: Renewable Energy and Power Quality Journal, Vol. 21, pp. 433–438
Year: 2023 | Citations: 2
Summary: A hybrid forecasting framework combining LSTM and a Markov decision structure, this study corrects input wind speed for improving wind power forecasts within minutes to hours. Effective for wind turbine operational control and energy market participation.

3. A Deterministic and Probabilistic Framework Based on Corrected Wind Speed to Improve Short-Term Wind Power Forecasting Accuracy

Authors: N. Jittratorn, C.M. Huang, H.T. Yang
Journal: International Journal of Electrical Power & Energy Systems, Vol. 170, 110859
Year: 2025
Summary: This journal article presents an advanced dual-framework model integrating deterministic forecasts with probabilistic corrections, improving reliability in fluctuating wind environments. It’s particularly useful for risk-aware grid management and dispatch.

4. Short-Term Forecasting of Wind Power Plant Generation Based on Machine Learning Models

Authors: M.N. Phan, K.P. Nguyen, V. Van Huynh, C.M. Huang, H.T. Yang, N. Jittratorn, et al.
Conference: 2025 IEEE 1st International Conference on Smart and Sustainable Developments
Year: 2025
Summary: Collaborative paper exploring various machine learning models for short-term wind forecasting. Nuttapat contributed to model selection, tuning, and integration with real-time plant data.

5. PV Power Forecasting for Operation of BESS Integrated with a PV Generation Plant

Authors: N. Jittratorn, C.S. Liu, C.M. Huang, H.T. Yang
Conference: 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA)
Year: 2024
Summary: Proposes a new forecasting model to manage PV+BESS operation, ensuring optimal battery use while minimizing forecast error. Critical for smart energy storage deployment in renewable infrastructure.

🏅 Conclusion

Nuttapat Jittratorn is a highly promising early-career researcher with solid technical, academic, and leadership credentials. His contributions to AI-driven energy forecasting and integration with industrial applications stand out. While still in the Ph.D. phase, his research maturity, real-world impact, and academic service position him as a strong candidate for the Best Researcher Award, particularly in the applied energy systems or smart grid technologies domain.