aceModerate evidence
Published recordClimateGood Space
More
Artificial intelligence for energy optimization in smart buildings: A systematic review and meta-analysis
- Truvace record
- TRV-2026-2777raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Systematic review or meta-analysis
- Sources
- 1 sourcePeer-reviewed
- sha256
- 1b5a3cb0f922…check it
This systematic review and meta-analysis critically evaluates artificial intelligence (AI) applications for energy optimization in smart buildings through comprehensive analysis of 126 peer-reviewed studies (2010–2024) from four major databases. We present a novel taxonomic framework categorizing AI implementations into five distinct approaches: predictive systems, adaptive control, pattern recognition, hybrid ensemble methods, and edge AI implementations. Our meta-analysis reveals significant performance variat…
The gain
A meta-analysis of 126 studies found reinforcement-learning building controls cut energy use by an average 22.3% against conventional building management systems, and hybrid methods by 28.1%.
What this doesn’t fix
Studies skew toward wealthy countries and office buildings, most were simulations or single-season tests, and the authors note that negative results are likely underrepresented.
Sources
1 on file- Energy Informaticsdoi:10.1186/s42162-025-00592-8
Cite this record
v1Truvace Impact Record TRV-2026-2777, v1: “Artificial intelligence for energy optimization in smart buildings: A systematic review and meta-analysis.” Truvace, 2026-11-12. /record/TRV-2026-2777 (accessed on the day you copy it). sha256 1b5a3cb0f9225011…
Change history
1 versionEvery change made to this record since it was first published, and why. Nothing has changed since it went up.
Certified into the record
Check this record hasn’t been altered
How to check it yourself, without trusting this page
Download any version from /api/record/TRV-2026-2777 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.