Nuttapat Jittratorn | Renewable Energy Technologies | Editorial Board Member

Mr. Nuttapat Jittratorn | Renewable Energy Technologies | Editorial Board Member

National Cheng Kung University | Taiwan

Mr. Nuttapat Jittratorn is a Ph.D. candidate at National Cheng Kung University specializing in energy forecasting, artificial intelligence, and image-based predictive modeling. His research focuses on advanced machine learning frameworks for wind and photovoltaic (PV) power forecasting, contributing to improved accuracy in short-term and ultra-short-term energy predictions. He has authored multiple peer-reviewed publications in high-impact journals, including Q1-ranked outlets, with growing citation impact. His work involves international collaborations and conference contributions (IEEE, IET), addressing challenges in renewable energy integration and smart grid management, thereby supporting sustainable energy systems and enhancing reliability in modern power networks.

Citation Metrics (Scopus)

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15

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Citations
10

Documents
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h-index
2

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications


A hybrid method for hour-ahead PV output forecast with historical data clustering.

– In 2022 IET International Conference on Engineering Technologies and Applications (IET-ICETA). (2018). Cited By:  5

Deterministic multi-energy load forecasting for integrated energy management system using a random search transformer network.

In Proceedings of the 2025 IEEE International Conference on Environment and Electrical Engineering and 2025 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) (pp. 1–6). IEEE. (2025) Cited By: 1

Ultrashort-term PV power forecasting based on weather classification and dynamic cloud tracking.

In Proceedings of the 2025 IEEE Industry Applications Society Annual Meeting (IAS) (pp. 1–8). IEEE.. (2020). Cited By: 1

 

Ms. Zahra Pezeshki | Electric Power | Best Researcher Award

Ms. Zahra Pezeshki | Electric Power | Best Researcher Award

Ms. Zahra Pezeshki, National Research University “Moscow Power Engineering Institute”, Russia

Zahra Pezeshki is a PhD student at the National Research University “Moscow Power Engineering Institute.” With a strong passion for academic research, she has overcome initial challenges in her studies, continuously striving for excellence. Her dedication to scientific inquiry drives her to engage in extensive research projects, always aiming to think globally. In addition to her academic pursuits, she has invested time in learning international languages. Deeply concerned about global issues, she is particularly passionate about climate change. Zahra values diversity and respects all races and ethnicities, embracing a broad, inclusive perspective in both her research and personal outlook.

Professional Profile:

GOOGLE SCHOLAR

ORCID

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Summary of Suitability for Best Researcher Award:

Zahra Pezeshki demonstrates a strong commitment to academic research, overcoming early challenges to establish herself as a dedicated scholar. Her research focuses on critical topics such as Building Information Modeling (BIM), Building Energy Modeling (BEM), artificial intelligence applications in thermal energy optimization, and climate change concerns. With multiple high-impact publications in reputable journals and a global research perspective, she has significantly contributed to the field of engineering and sustainable development. Given her dedication, productivity, and impact in the research community, she is a strong candidate for the Best Researcher Award.

🎓 Education:

  • PhD Student – National Research University “Moscow Power Engineering Institute” (MPEI)
  • Bachelor’s Degree – [Specify University & Field if available]

💼 Work Experience:

  • Researcher & Academic Contributor 📚🔬
    • Passionate about academic research and problem-solving
    • Engaged in multiple research projects, especially in the field of climate change
  • Multilingual Professional 🌍🗣
    • Proficient in international languages, facilitating global research collaborations

🏆 Achievements & Contributions:

  • Successfully contributed to research projects related to climate change 🌱🌎
  • Overcame academic challenges to pursue a career in research 📈📖
  • Developed a strong international network in academia 🤝

🎖 Awards & Honors:

  • Recognition for dedication to research and innovation 🏅
  • Contributor to global discussions on climate change and sustainability 🌿🏆

Publication Top Notes:

Applications of BIM: a brief review and future outline

CITED:135

Application of BEM and using BIM database for BEM: A review

CITED:128

Comparison of artificial neural networks, fuzzy logic and neuro fuzzy for predicting optimization of building thermal consumption: a survey

CITED:102

Thermal transport in: Building materials

CITED:51

Rechargeable Batteries: History, Progress, and Applications

CITED:37