Explainable approaches for forecasting building electricity consumption

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Dataset information

Country of origin
Updated
2024.07.06 00:00
Created
2024.01.01
Available languages
English
Keywords
LSTM models, electricity demand forecasting, training timeframe, counterfactuals, symbolic expressions, STS models, actionable features, model explainability, GP models, SHAP values
Quality scoring

Dataset description

A range of LSTM, GP and STS models (provided as Jupyter notebooks) and yearly data (provided as excel files) used for developing explainable approaches for building electricity demand forecasting. A index of the models is also provided.
European data infrastructure with broad catalog discovery, free evaluation access and production-grade API options.
190K+
indexed dataset pages
32
countries and EU institutions
2019
API-first since
Free API quota
for evaluation and prototypes
SLA
history and push on production APIs
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