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Control of Renewable Energy Communities using AI and Real-World Data

Control of Renewable Energy Communities using AI and Real-World Data

22 May 2025
Tiago Fonseca
Clarisse Sousa
Ricardo Venâncio
Pedro Pires
Ricardo Severino
Paulo Rodrigues
Pedro Paiva
Luis Lino Ferreira
ArXiv (abs)PDFHTMLGithub

Papers citing "Control of Renewable Energy Communities using AI and Real-World Data"

8 / 8 papers shown
Percepta: High Performance Stream Processing at the Edge
Percepta: High Performance Stream Processing at the Edge
Clarisse Sousa
Tiago Fonseca
Luis Lino Ferreira
Ricardo Venâncio
Ricardo Severino
142
0
0
02 Oct 2025
CityLearn v2: Energy-flexible, resilient, occupant-centric, and
  carbon-aware management of grid-interactive communities
CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communitiesJournal of Building Performance Simulation, Taylor & Francis (JBPS), 2024
Kingsley Nweye
Kathryn Kaspar
Giacomo Buscemi
Tiago Fonseca
G. Pinto
...
Luis Lino Ferreira
Tianzhen Hong
Mohamed Ouf
Alfonso Capozzoli
Zoltán Nagy
216
35
0
02 May 2024
EVLearn: Extending the CityLearn Framework with Electric Vehicle
  Simulation
EVLearn: Extending the CityLearn Framework with Electric Vehicle Simulation
Tiago Fonseca
Luis Lino Ferreira
Bernardo Cabral
Ricardo Severino
Kingsley Nweye
Dipanjan Ghose
Zoltán Nagy
222
10
0
08 Apr 2024
EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle to
  Grid Energy Management
EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle to Grid Energy ManagementIEEE International Conference on Smart Grid Communications (SmartGridComm), 2024
Tiago Fonseca
Luis Lino Ferreira
Bernardo Cabral
Ricardo Severino
Isabel Praça
290
10
0
02 Apr 2024
Controlling Commercial Cooling Systems Using Reinforcement Learning
Controlling Commercial Cooling Systems Using Reinforcement Learning
Jerry Luo
Cosmin Paduraru
Octavian Voicu
Yuri Chervonyi
Scott A. Munns
...
Sims Witherspoon
D. Parish
Peter Dolan
Chenyu Zhao
D. Mankowitz
OffRLAI4CE
293
42
0
11 Nov 2022
A Review of Safe Reinforcement Learning: Methods, Theory and
  Applications
A Review of Safe Reinforcement Learning: Methods, Theory and Applications
Shangding Gu
Longyu Yang
Yali Du
Guang Chen
Florian Walter
Jun Wang
Alois C. Knoll
OffRLAI4TS
650
316
0
20 May 2022
Real-world challenges for multi-agent reinforcement learning in
  grid-interactive buildings
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings
Kingsley Nweye
Bo Liu
Peter Stone
Zoltán Nagy
OffRLAI4CE
221
44
0
25 Nov 2021
A Relearning Approach to Reinforcement Learning for Control of Smart
  Buildings
A Relearning Approach to Reinforcement Learning for Control of Smart Buildings
Avisek Naug
Marcos Quiñones-Grueiro
G. Biswas
CLL
148
12
0
04 Aug 2020
1
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