Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

Ioannis Antonopoulos, Valentin Robu, Benoit Couraud, Desen Kirli, Sonam Norbu, Aristides Kiprakis, David Flynn, Sergio Elizondo-Gonzales, Steve Wattam

Open source

DOI: 10.1016/j.rser.2020.109899
Published: 2020-09
Container: Renewable and Sustainable Energy Reviews
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.rser.2020.109899,
  title = {Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review},
  author = {Ioannis Antonopoulos and Valentin Robu and Benoit Couraud and Desen Kirli and Sonam Norbu and Aristides Kiprakis and David Flynn and Sergio Elizondo-Gonzales and Steve Wattam},
  year = {2020},
  journal = {Renewable and Sustainable Energy Reviews},
  doi = {10.1016/j.rser.2020.109899},
  url = {https://doi.org/10.1016/j.rser.2020.109899}
}

RIS

TY  - JOUR
TI  - Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review
AU  - Ioannis Antonopoulos
AU  - Valentin Robu
AU  - Benoit Couraud
AU  - Desen Kirli
AU  - Sonam Norbu
AU  - Aristides Kiprakis
AU  - David Flynn
AU  - Sergio Elizondo-Gonzales
AU  - Steve Wattam
PY  - 2020
JO  - Renewable and Sustainable Energy Reviews
DO  - 10.1016/j.rser.2020.109899
UR  - https://doi.org/10.1016/j.rser.2020.109899
ER  -

APA

Antonopoulos, I., Robu, V., Couraud, B., Kirli, D., Norbu, S., Kiprakis, A., Flynn, D., Elizondo-Gonzales, S., & Wattam, S. (2020). Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2020.109899

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hal · retrieved 2026-09-25T21:52:48.242Z