# Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/real-building-implementation-of-a-deep-reinforcement-learning-controller-to/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Alberto Silvestri,Davide Coraci,Silvio Brandi,Alfonso Capozzoli,Esther Borkowski,Johannes Köhler,Duan Wu,Melanie N. Zeilinger,Arno Schlueter |
| Citations | 86 |
| DOI | 10.1016/j.apenergy.2024.123447 |
| Fields | Agricultural and Biological Sciences,Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://ars.els-cdn.com/content/image/1-s2.0-S0306261924008304-ga1_lrg.jpg |
| OpenAlex ID | https://openalex.org/W4398162525 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Alberto Silvestri](https://scholariq.org/researchers/alberto-silvestri/)

## Paper primary topic

- [Building Energy and Comfort Optimization](https://scholariq.org/topics/building-energy-and-comfort-optimization/)

## Paper topics

- [Building Energy and Comfort Optimization](https://scholariq.org/topics/building-energy-and-comfort-optimization/)
- [Refrigeration and Air Conditioning Technologies](https://scholariq.org/topics/refrigeration-and-air-conditioning-technologies/)
- [Greenhouse Technology and Climate Control](https://scholariq.org/topics/greenhouse-technology-and-climate-control/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.