Journal of Economic, Finance Research and Review (JEFRR) · Research article · Open access
Behavioural Science and AI-Driven Interventions in Energy Conservation: A Systematic Literature Review
Eka Sudarmaji
27 February 2026 · Vol. 2, Issue 2, pp. 130-137
DOI: 10.65150/EP-jefrr/V2E2/2026-08
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What is this article about?
This systematic literature review synthesises findings from 45 peer-reviewed studies (2016–January 2026) on behavioural interventions for energy conservation. 9%; about 52% of savings persist post-intervention via technology.
Article at a glance
- Published
- 27 February 2026
- Volume / issue / pages
- Vol. 2, Issue 2, pp. 130-137
- ISSN
- 3051-3650 (online) · 3051-3642 (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
This systematic literature review synthesises findings from 45 peer-reviewed studies (2016–January 2026) on behavioural interventions for energy conservation. Key results show that social comparison nudges lower electricity use by 1.5% to 2.9%; about 52% of savings persist post-intervention via technology. Intervention efficacy is 2–4 times higher among liberals versus conservatives and is context-dependent. AI-personalised interventions outperform static nudges, reducing decay effects by up to half. Boosts foster sustained performance, with 26.6% greater long-term effects than nudges. Notable challenges include moral licensing (5–8% rebound), boomerang effects among low users, and publication bias that inflates impact estimates. There are gaps in cross-cultural validation, long-term persistence, transparency, trust, and integration in energy planning. This review provides actionable policy recommendations for designing ethical and effective behavioural programs that support technology-driven climate action.
Keywords: behavioral economics, energy conservation, nudges, boosts, AI personalization, social norms, rebound effects, choice architecture, sustainability
Cite this article
Eka Sudarmaji (2026). Behavioural Science and AI-Driven Interventions in Energy Conservation: A Systematic Literature Review. Journal of Economic, Finance Research and Review, 2(2), 130-137. https://doi.org/10.65150/EP-jefrr/V2E2/2026-08
@article{Eka2026,
title = {Behavioural Science and AI-Driven Interventions in Energy Conservation: A Systematic Literature Review},
author = {Eka Sudarmaji},
journal = {Journal of Economic, Finance Research and Review},
year = {2026},
volume = {2},
number = {2},
pages = {130-137},
doi = {10.65150/EP-jefrr/V2E2/2026-08},
url = {https://doi.org/10.65150/EP-jefrr/V2E2/2026-08}
}Questions about this article
Who wrote this article?
Eka Sudarmaji.
Where and when was it published?
In Journal of Economic, Finance Research and Review, Volume 2, Issue 2, pages 130-137, published by EP Journals Group on 27 February 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-jefrr/V2E2/2026-08 (https://doi.org/10.65150/EP-jefrr/V2E2/2026-08).
How do I cite this article?
APA: Eka Sudarmaji (2026). Behavioural Science and AI-Driven Interventions in Energy Conservation: A Systematic Literature Review. Journal of Economic, Finance Research and Review, 2(2), 130-137. https://doi.org/10.65150/EP-jefrr/V2E2/2026-08
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