Open AccessShort-Term Electrical Load Demand Forecasting Based on LSTM and RNN Deep Neural Networks
Author(s) -
Badar ul Islam,
Shams Forruque Ahmed
Publication year - 2022
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2022/2316474
Subject(s) - mean squared error , sigmoid function , mean absolute percentage error , artificial neural network , computer science , artificial intelligence , hyperbolic function , feature selection , smart grid , machine learning , electric power system , demand forecasting , power (physics) , engineering , statistics , operations research , mathematics , mathematical analysis , physics , quantum mechanics , electrical engineering
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