Enhanced multi-energy load forecasting via multi-task learning and GRU-attention networks in integrated energy systems

Swee‐Huay Heng

doi:10.1007/s00202-024-02942-3

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Enhanced multi-energy load forecasting via multi-task learning and GRU-attention networks in integrated energy systems

Swee‐Huay Heng

Year: 2025 Journal: Electrical Engineering Vol: 107 (6)Pages: 7673-7683 Publisher: Springer Science+Business Media

DOI: 10.1007/s00202-024-02942-3

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Keywords:

Computer science Energy consumption Scheduling (production processes) Energy (signal processing) Task (project management) Efficient energy use Artificial intelligence Data mining Real-time computing Engineering Mathematical optimization Statistics Mathematics

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Topics

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Solar Radiation and Photovoltaics

Physical Sciences → Computer Science → Artificial Intelligence

Building Energy and Comfort Optimization

Physical Sciences → Engineering → Building and Construction

Enhanced multi-energy load forecasting via multi-task learning and GRU-attention networks in integrated energy systems

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Citation History

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