Short-Term Load Forecasting: A Comprehensive Review and Simulation Study With CNN-LSTM Hybrids Approach

Short-term load forecasting (STLF) is vital in effectively managing the reserve requirement in modern power grids. Subsequently, it supports the grid operator in making effective and economical decisions during the power balancing operation. Therefore, this study comprehensively reviews STLF methods...

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Autori principali:	Kaleem Ullah, Muhammad Ahsan, Syed Muhammad Hasanat, Muhammad Haris, Hamza Yousaf, Syed Faraz Raza, Ritesh Tandon, Samain Abid, Zahid Ullah
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Access
Soggetti:	Short-term load forecasting convolution neural network hybrid LSTM-CNN network NTDC Pakistan power balancing operation
Accesso online:	https://ieeexplore.ieee.org/document/10630814/
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