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2. Machine Learning in Operating of Low Voltage Future Grid. (2022). Pijarski, Pawe ; Mroczek, Bartomiej.
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3. Energy Savings in Production Processes as a Key Component of the Global Energy Problem—The Introduction to the Special Issue of Energies. (2022). Urban, Wieslaw.
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2. An Overview of Supervised Machine Learning Approaches for Applications in Active Distribution Networks. (2023). Radhoush, Sepideh ; Nehrir, Hashem ; Whitaker, Bradley M.
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3. Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead. (2023). Leonowicz, Zbigniew ; Shahzad, Sulman ; Akhtar, Saima ; Gono, Radomir ; Jasiski, Micha ; Kilic, Heybet ; Ullah, Hafiz Sami ; Zaheer, Asad.
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4. Short-term electric net load forecasting for solar-integrated distribution systems based on Bayesian neural networks and statistical post-processing. (2023). Lopez-Lorente, Javier ; Tziolis, Georgios ; Makrides, George ; Georghiou, George E ; Spanias, Chrysovalantis ; Livera, Andreas ; Theocharides, Spyros ; Theodoride, Maria.
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5. Machine Learning Short-Term Energy Consumption Forecasting for Microgrids in a Manufacturing Plant. (2022). Urban, Wieslaw ; Slowik, Maciej.
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6. Long-Term Electricity Demand Forecasting in the Steel Complex Micro-Grid Electricity Supply Chain—A Coupled Approach. (2022). Kazemi, Seyed Mohammad ; Moalem, Sepehr ; Ahari, Roya M ; Moazzami, Majid ; Shahgholian, Ghazanfar.
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9. Forecasting: theory and practice. (2022). Thomakos, Dimitrios ; Shang, Han Lin ; Sermpinis, Georgios ; Rubaszek, Michał ; Reade, J ; Paccagnini, Alessia ; Martinez, Andrew ; Li, Feng ; Hendry, David ; Guidolin, Massimo ; Grossi, Luigi ; Franses, Philip Hans ; Fiszeder, Piotr ; Clements, Michael ; Castle, Jennifer ; Babai, Mohamed Zied ; Assimakopoulos, Vassilios ; Pedregal, Diego J ; Trapero, Juan Ramon ; Meeran, Sheik ; Koehler, Anne B ; Guseo, Renato ; Gunter, Ulrich ; Barrow, Devon K ; Pavia, Jose M ; de Baets, Shari ; Talagala, Priyanga Dilini ; Januschowski, Tim ; Frazier, David T ; Jeon, Jooyoung ; Hollyman, Ross ; Panagiotelis, Anastasios ; Petropoulos, Fotios ; Gilliland, Michael ; Thorarinsdottir, Thordis ; Boylan, John E ; Winkler, Robert L ; Yusupova, Alisa ; Ziel, Florian ; Pinson, Pierre ; Rapach, David E ; Ellison, Joanne ; Bessa, Ricardo J ; Dokumentov, Alexander ; Cyrino, Fernando Luiz ; Modis, Theodore ; Apiletti, Daniele ; Browell, Jethro ; Goodwin, Paul ; Kang, Yanfei ; Pedio, Manuela ; Kolassa, Stephan ; Carnevale, Claudio ; Ramos, Patricia ; Grushka-Cockayne, Yael ; Todini, Ezio ; Makridakis, Spyros ; Cordeiro, Clara ; Cirillo, Pasquale ; Wang, Xiaoqian ; Spiliotis, Evangelos ; Tashman, Len ; ben Taieb, Souhaib ; Bergmeir, Christoph ; Bijak, Jakub ; Kourentzes, Nikolaos ; Guo, Xiaojia ; Nikolopoulos, Konstantinos ; Leva, Sonia ; Rostami-Tabar, Bahman ; Panapakidis, Ioannis ; Harvey, Nigel ; Richmond, Victor ; Onkal, Dilek ; Litsiou, Konstantia ; Gonul, Sinan M ; Syntetos, Aris A.
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10. Electrical Load Demand Forecasting Using Feed-Forward Neural Networks. (2021). Guedes, Vanessa ; Pinto, Tiago ; Morais, Hugo ; Machado, Eduardo.
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11. Advances in the Application of Machine Learning Techniques for Power System Analytics: A Survey. (2021). Miraftabzadeh, Seyed Mahdi ; Igual, Raul ; Longo, Michela ; Pasetti, Marco ; Foiadelli, Federica.
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12. Machine Learning and GIS Approach for Electrical Load Assessment to Increase Distribution Networks Resilience. (2021). Moncecchi, Matteo ; Merlo, Marco ; Morotti, Andrea ; Bosisio, Alessandro.
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13. Minutely Active Power Forecasting Models Using Neural Networks. (2020). Kontogiannis, Dimitrios ; Bargiotas, Dimitrios ; Daskalopulu, Aspassia.
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15. Time Series Clustering of Electricity Demand for Industrial Areas on Smart Grid. (2020). Kim, Yunsun ; Son, Heung-Gu.
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16. A Novel Accurate and Fast Converging Deep Learning-Based Model for Electrical Energy Consumption Forecasting in a Smart Grid. (2020). Shafiq, Zeeshan ; Wadud, Zahid ; Ali, Mohammad Usman ; Alimgeer, Khurram Saleem ; Khan, Imran ; Hafeez, Ghulam ; Derhab, Abdelouahid.
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17. Intelligent Systems for Power Load Forecasting: A Study Review. (2020). Snasel, Vaclav ; Misak, Stanislav ; Jahan, Ibrahim Salem.
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18. Big Data Analytics for Short and Medium-Term Electricity Load Forecasting Using an AI Techniques Ensembler. (2020). Ali, Usman ; Ayub, Nasir ; Irfan, Muhammad ; Awais, Muhammad ; Hamdi, Mohammed ; Muhammad, Fazal ; Alghamdi, Abdullah.
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19. Trade-Off between Precision and Resolution of a Solar Power Forecasting Algorithm for Micro-Grid Optimal Control. (2020). Nivet, Marie-Laure ; Duchaud, Jean-Laurent ; Notton, Gilles ; Voyant, Cyril ; Fouilloy, Alexis.
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20. Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine. (2020). Ahmad, Waqas ; Ali, Tariq ; Ayub, Nasir ; Shiraz, Muhammad ; Irfan, Muhammad ; Awais, Muhammad ; Glowacz, Adam.
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21. Game Theoretical Energy Management with Storage Capacity Optimization and Photo-Voltaic Cell Generated Power Forecasting in Micro Grid. (2019). Javaid, Nadeem ; Alhussein, Musaed ; Rasheed, Muhammad Babar ; Aurangzeb, Khursheed ; Naz, Aqdas ; Haseeb, Abdul.
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22. Research on Short-Term Load Prediction Based on Seq2seq Model. (2019). Wen, Yafeng ; An, Xiaonan ; Chen, SI ; Sun, Shuyan ; Mahato, Nawaraj Kumar ; Gong, Gangjun.
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23. Short-Term Electric Power Demand Forecasting Using NSGA II-ANFIS Model. (2019). Menezes, Raimundo ; de Souza, Nilmar ; Jadidi, Aydin ; de Castro, Antonio Cezar.
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