Energy performance of building refurbishments : predictive and prescriptive AI-based machine learning approaches
| Year of publication: |
2024
|
|---|---|
| Authors: | Gnekpe, Christian ; Tchuente, Dieudonné ; Nyawa, Serge ; Dey, Prasanta Kumar |
| Published in: |
Journal of business research : JBR. - New York, NY : Elsevier, ISSN 0148-2963, ZDB-ID 2013438-1. - Vol. 183.2024, Art.-No. 114821, p. 1-17
|
| Subject: | Artificial intelligence | Energy efficiency | France | Machine learning | Predictor importance open data | Künstliche Intelligenz | Energieeinsparung | Energy conservation | Frankreich | Prognoseverfahren | Forecasting model |
-
Rajendran, Brintha, (2025)
-
Building energy consumption prediction using neural-based models
Buturache, Adrian-Nicolae, (2022)
-
Predictive analytics for energy efficiency and energy retailing
Hopf, Konstantin, (2019)
- More ...
-
Country-specific issues and challenges of energy industry : editorial
Dey, Prasanta Kumar, (2016)
-
Circular economy to enhance sustainability of small and medium‐sized enterprises
Dey, Prasanta Kumar, (2020)
-
Dey, Prasanta Kumar, (2019)
- More ...