Explainable approaches for forecasting building electricity consumption
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.
Resources
| Name |
Format |
Description |
Link |
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0 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-11163792 |
|
0 |
|
http://data.europa.eu/88u/dataset/oai-zenodo-org-11163792 |
|
0 |
|
http://data.europa.eu/88u/dataset/oai-zenodo-org-11163792 |
|
0 |
|
http://data.europa.eu/88u/dataset/oai-zenodo-org-11163792 |
Tags
- counterfactuals
- symbolic-expressions
- electricity-demand-forecasting
- training-timeframe
- actionable-features
- model-explainability
- shap-values
- gp-models
- lstm-models
- sts-models