Explainable AI for predicting household demand flexibility: Insights from smart meter data and price-based programs

Santiago Bañales, Raquel Dormido, Natividad Duro

Open source

DOI: 10.1016/j.egyai.2026.100686
Published: 05
Container: Energy and AI
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.egyai.2026.100686,
  title = {Explainable AI for predicting household demand flexibility: Insights from smart meter data and price-based programs},
  author = {Santiago Bañales and Raquel Dormido and Natividad Duro},
  year = {2026},
  journal = {Energy and AI},
  doi = {10.1016/j.egyai.2026.100686},
  url = {https://doi.org/10.1016/j.egyai.2026.100686}
}

RIS

TY  - JOUR
TI  - Explainable AI for predicting household demand flexibility: Insights from smart meter data and price-based programs
AU  - Santiago Bañales
AU  - Raquel Dormido
AU  - Natividad Duro
PY  - 2026
JO  - Energy and AI
DO  - 10.1016/j.egyai.2026.100686
UR  - https://doi.org/10.1016/j.egyai.2026.100686
ER  -

APA

Bañales, S., Dormido, R., & Duro, N. (2026). Explainable AI for predicting household demand flexibility: Insights from smart meter data and price-based programs. Energy and AI. https://doi.org/10.1016/j.egyai.2026.100686

Source records

doaj · retrieved 2026-09-26T11:15:55.352Z