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A novel short-term multi-energy load forecasting method for integrated energy system based on feature separation-fusion technology and improved CNN by Ke Li; Yuchen Mu; Fan Yang; Haiyang Wang; Yi Yan; Chenghui Zhang is a Engineering article available to read on EtoBox.

What is A novel short-term multi-energy load forecasting method for integrated energy system based on feature separation-fusion technology and improved CNN about?

Proposing a feature separation-fusion technology based on the difference in information value. • Proposing an improved CNN based on multi-scale fusion and reconstructing the original load into a 3D pixel matrix. • Designing a multi-task hard sharing learning framework and using feature interpretation modules with different structures. • The simulation results show that the proposed model achieves a WMA of 98.01% during winter days, with an RESD as low as 0.0242.

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Author

Ke Li; Yuchen Mu; Fan Yang; Haiyang Wang; Yi Yan; Chenghui Zhang

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Engineering (Physical Sciences)