Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead

Short-Term Load Forecasting Models: A Review of Challenges, Progress, and the Road Ahead

Short-term load forecasting (STLF) is critical for the energy industry. Accurate predictions of future electricity demand are necessary to ensure power systems’ reliable and efficient operation. Various STLF models have been proposed in recent years, each with strengths and weaknesses. This paper co...

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Bibliographic Details
Main Authors: Saima Akhtar, Sulman Shahzad, Asad Zaheer, Hafiz Sami Ullah, Heybet Kilic, Radomir Gono, Michał Jasiński, Zbigniew Leonowicz
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Energies
Subjects:
short-term load forecasting
neural networks
time series
autoregression
deep learning
artificial intelligence
Online Access:https://www.mdpi.com/1996-1073/16/10/4060

Internet

https://www.mdpi.com/1996-1073/16/10/4060

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