Automated energy consumption forecasting with EnForce
Summary: EnForce automates energy forecasting for time series, blending statistics with deep learning for uni- and multivariate data and exogenous factors. Automatic preprocessing handles noise, missing values, and outliers; API supports experts and non-experts. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mary Karatzoglidi (National Technical University of Athens)
- 2. Paraskevas Kerasiotis (National Technical University of Athens)
- 3. Verena Kantere (National Technical University of Athens)
BibTeX Citation
@article{karatzoglidi_vldb21,
title = {{Automated energy consumption forecasting with EnForce}},
author = {Karatzoglidi, Mary and Kerasiotis, Paraskevas and Kantere, Verena},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2771--2774},
doi = {10.14778/3476311.3476341},
url = {https://doi.org/10.14778/3476311.3476341},
year = {2021}
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