Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution

Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolution

Precise short-term load forecasting (STLF) plays a crucial role in the smooth operation of power systems, future capacity planning, unit commitment, and demand response. However, due to its non-stationary and its dependency on multiple cyclic and non-cyclic calendric features and non-linear highly c...

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Hlavní autoři: Irshad Ullah, Syed Muhammad Hasanat, Khursheed Aurangzeb, Musaed Alhussein, Muhammad Rizwan, Muhammad Shahid Anwar
Médium: Článek
Jazyk:English
Vydáno: PeerJ Inc. 2023-09-01
Edice:PeerJ Computer Science
Témata:
Deep learning
LSTM
CNN
Hybrid
Short-Term Load Forecasting (STLF)
Electrical load consumption
On-line přístup:https://peerj.com/articles/cs-1487.pdf

Internet

https://peerj.com/articles/cs-1487.pdf

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