A Novel Reinforced Deep RNN–LSTM Algorithm: Energy Management Forecasting Case Study
IEEE Transactions on Industrial Informatics(2022)
摘要
In this article, a new hybrid deep learning (DL) algorithm is developed to make a computer-assisted forecasting energy management (EM) system. Applying the Copula function, the Hankel matrix is created for processing gathered automatic metering infrastructure (AMI) load information in the smart network. This processing of the data results in model optimization through the suggested new pooling-bas...
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关键词
Optimization,Forecasting,Training,Prediction algorithms,Load modeling,Load forecasting,Uncertainty
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