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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Bibliografische Detailangaben

Hauptverfasser:	Irshad Ullah, Syed Muhammad Hasanat, Khursheed Aurangzeb, Musaed Alhussein, Muhammad Rizwan, Muhammad Shahid Anwar
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	PeerJ Inc. 2023-09-01
Schriftenreihe:	PeerJ Computer Science
Schlagworte:	Deep learning LSTM CNN Hybrid Short-Term Load Forecasting (STLF) Electrical load consumption
Online-Zugang:	https://peerj.com/articles/cs-1487.pdf
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