Improving the Efficiency of Multistep Short-Term Electricity Load Forecasting via R-CNN with ML-LSTM

Improving the Efficiency of Multistep Short-Term Electricity Load Forecasting via R-CNN with ML-LSTM

Multistep power consumption forecasting is smart grid electricity management’s most decisive problem. Moreover, it is vital to develop operational strategies for electricity management systems in smart cities for commercial and residential users. However, an efficient electricity load forecasting mo...

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Bibliographic Details
Main Authors: Mohammed F. Alsharekh, Shabana Habib, Deshinta Arrova Dewi, Waleed Albattah, Muhammad Islam, Saleh Albahli
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
electricity load forecasting
residual CNN
ML-LSTM
CNN-LSTM
electricity consumption
Online Access:https://www.mdpi.com/1424-8220/22/18/6913

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https://www.mdpi.com/1424-8220/22/18/6913

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