Explainable multi-step heating load forecasting: Using SHAP values and temporal attention mechanisms for enhanced interpretability

Explainable multi-step heating load forecasting: Using SHAP values and temporal attention mechanisms for enhanced interpretability

The role of heating load forecasts in the energy transition is significant, given the considerable increase in the number of heat pumps and the growing prevalence of fluctuating electricity generation. While machine learning methods offer promising forecasting capabilities, their black-box nature ma...

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Bibliographic Details
Main Authors: Alexander Neubauer, Stefan Brandt, Martin Kriegel
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Energy and AI
Subjects:
Multi-step load forecasting
Explainable AI (XAI)
SHAP values
Encoder–Decoder model
Attention mechanisms
Feature selection
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546825000126
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