Short-Term Campus Load Forecasting Using CNN-Based Encoder–Decoder Network with Attention

Short-term load forecasting is a challenging research problem and has a tremendous impact on electricity generation, transmission, and distribution. A robust forecasting algorithm can help power system operators to better tackle the ever-changing electric power demand. This paper presents a novel de...

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Veröffentlicht in:	Energies (Basel) Jg. 17; H. 17; S. 4457
Hauptverfasser:	Ahmed, Zain, Jamil, Mohsin, Khan, Ashraf Ali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.09.2024
Schlagworte:	Algorithms Artificial intelligence Boilers convolutional neural network Deep learning Electricity Energy consumption Forecasting load forecasting Neural networks Temperature Time series time series forecasting
ISSN:	1996-1073, 1996-1073
Online-Zugang:	Volltext
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