Achieving high precision and balanced multi-energy load forecasting with mixed time scales: a multi-task learning model with stacked cross-attention
Accurate multi-energy load forecasting is a prerequisite for on-demand energy supply in integrated energy systems. However, due to differences in response characteristics and load patterns among electrical, heating, and cooling loads, multi-energy load forecasting faces the challenges of heterogeneo...
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Main Authors: | Yunfei Zhang, Jun Shen, Jian Li, Mingzhe Yu, Xu Chen, Ziyong Yin |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2025-09-01
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Series: | Energy and AI |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S266654682500093X |
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