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Announcements
7 April 2026
Energies | Highly Cited Papers in the “Artificial Intelligence and Smart Energy” Section in 2025
1. “Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach”
by Georgios Tsoumplekas, Christos Athanasiadis, Dimitrios I. Doukas, Antonios Chrysopoulos
and Pericles Mitkas
Energies 2025, 18(3), 742; https://doi.org/10.3390/en18030742
Available online: https://www.mdpi.com/1996-1073/18/3/742
Citations: 12
2. “Enhancing Renewable Energy Integration and Implementing EV Charging Stations for Sustainable Electricity in Crete’s Supermarket Chain”
by Emmanuel Karapidakis, Marios Nikologiannis, Marini Markaki, Georgios Kouzoukas
and Sofia Yfanti
Energies 2025, 18(3), 754; https://doi.org/10.3390/en18030754
Available online: https://www.mdpi.com/1996-1073/18/3/754
Citations: 11
3. “Regulating AI in the Energy Sector: A Scoping Review of EU Laws, Challenges, and Global Perspectives”
by Bo Nørregaard Jørgensen and Zheng Grace Ma
Energies 2025, 18(9), 2359; https://doi.org/10.3390/en18092359
Available online: https://www.mdpi.com/1996-1073/18/9/2359
Citations: 11
4. “Benchmarking Transformer Variants for Hour-Ahead PV Forecasting: PatchTST with Adaptive Conformal Inference”
by Vishnu Suresh
Energies 2025, 18(18), 5000; https://doi.org/10.3390/en18185000
Available online: https://www.mdpi.com/1996-1073/18/18/5000
Citations: 9
5. “Research and Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles: A Review”
by Fan Wang, Yina Hong and Xiaohuan Zhao
Energies 2025, 18(11), 2873; https://doi.org/10.3390/en18112873
Available online: https://www.mdpi.com/1996-1073/18/11/2873
Citations: 8
6. “TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems”
by Younjeong Lee and Jongpil Jeong
Energies 2025, 18(4), 765; https://doi.org/10.3390/en18040765
Available online: https://www.mdpi.com/1996-1073/18/4/765
Citations: 6
7. “Adaptive Hosting Capacity Forecasting in Distribution Networks with Distributed Energy Resources”
by Md Tariqul Islam, M. Jahangir Hossain, Md. Ahasan Habib and Muhammad Ahsan Zamee
Energies 2025, 18(2), 263; https://doi.org/10.3390/en18020263
Available online: https://www.mdpi.com/1996-1073/18/2/263
Citations: 6
8. “Effective and Local Constraint-Aware Load Shifting for Microgrid-Based Energy Communities”
by Dimitra G. Kyriakou, Fotios D. Kanellos, George J. Tsekouras and Konstantinos A. Moungos
Energies 2025, 18(2), 343; https://doi.org/10.3390/en18020343
Available online: https://www.mdpi.com/1996-1073/18/2/343
Citations: 5
9. “A Thematic Review of AI and ML in Sustainable Energy Policies for Developing Nations”
by Hassan Qudrat-Ullah
Energies 2025, 18(9), 2239; https://doi.org/10.3390/en18092239
Available online: https://www.mdpi.com/1996-1073/18/9/2239
Citations: 5
10. “Comparative Analysis of Hybrid Deep Learning Models for Electricity Load Forecasting During Extreme Weather”
by Altan Unlu and Malaquias Peña
Energies 2025, 18(12), 3068; https://doi.org/10.3390/en18123068
Available online: https://www.mdpi.com/1996-1073/18/12/3068
Citations: 5
