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Short-term load forecasting (STLF) is crucial for the daily operation of power grids.
Adversarially robust transfer learning
Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Cristoph Studer, David Jacobs, and Tom Goldstein · 1905
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Short term load forecasting using a multilayer neural network with an adaptive learning algorithm
K.L. Ho, Y.-Y. Hsu, and C.-C. Yang · 1992
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Enhanced Short-Term Load Forecasting Using Artificial Neural Networks
Athanasios Ioannis Arvanitidis, Dimitrios Bargiotas, Aspassia Daskalopulu, Vasileios M. Laitsos, and Lefteri H. Tsoukalas · 1996
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A New Neural Network Approach to Short Term Load Forecasting of Electrical Power Systems
Nima Amjady and Farshid Keynia · 1996
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Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation
Huiting Zheng, Jiabin Yuan, and Long Chen · 1996
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Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †
Salah Bouktif, Ali Fiaz, Ali Ouni, and Mohamed Adel Serhani · 1996
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A Procedure for Automating Energy Analyses in the BIM Context Exploiting Artificial Neural Networks and Transfer Learning Technique
Mikhail Demianenko and Carlo Iapige De Gaetani · 1996
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Short-Term Load Forecasting with Neural Network Ensembles: A Comparative Study [Application Notes]
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