Chin-Tan Lee, Shih-Cheng Horng, “Abnormality Detection of Cast-Resin Transformers Using the Fuzzy Logic Clustering Decision Tree”, Energies, 13, № 10, 2020, 2546
Mirosław Parol, Paweł Piotrowski, Piotr Kapler, Mariusz Piotrowski, “Forecasting of 10-Second Power Demand of Highly Variable Loads for Microgrid Operation Control”, Energies, 14, № 5, 2021, 1290
Stéfano Frizzo Stefenon, Roberto Zanetti Freire, Leandro dos Santos Coelho, Luiz Henrique Meyer, Rafael Bartnik Grebogi, William Gouvêa Buratto, Ademir Nied, “Electrical Insulator Fault Forecasting Based on a Wavelet Neuro-Fuzzy System”, Energies, 13, № 2, 2020, 484
Shuang Tong, Fei Wang, Bo Wang, Hui Ren, Zhao Zhen, 2020 IEEE 3rd Student Conference on Electrical Machines and Systems (SCEMS), 2020, 995
Qiuhong Huang, Xiao Wang, “A Forecasting Model of Wind Power Based on IPSO–LSTM and Classified Fusion”, Energies, 15, № 15, 2022, 5531
Renhai Feng, Yuanbiao Xue, Wei Wang, Meng Xiao, “Saturated load forecasting based on clustering and logistic iterative regression”, Electric Power Systems Research, 202, 2022, 107604
Bogdan Oancea, Richard Pospíšil, Marius Nicolae Jula, Cosmin-Ionuț Imbrișcă, “Experiments with Fuzzy Methods for Forecasting Time Series as Alternatives to Classical Methods”, Mathematics, 9, № 19, 2021, 2517
Paweł Pijarski, Adrian Belowski, “Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue”, Energies, 17, № 2, 2024, 516
Chin-Wen Liao, I-Chi Wang, Kuo-Ping Lin, Yu-Ju Lin, “A Fuzzy Seasonal Long Short-Term Memory Network for Wind Power Forecasting”, Mathematics, 9, № 11, 2021, 1178
Pingping Shao, Jun Feng, Pengcheng Zhang, Jiamin Lu, “Interpretable spatial-temporal attention convolutional network for rainfall forecasting”, Computers & Geosciences, 185, 2024, 105535