61 citations · 64 across the 7 of their papers we have counts for
7 papers
CityLearn v3: A Configurable Simulation and Evaluation Framework for Realistic Control Studies of Renewable Energy Communities
Tiago Fonseca, Luis Lino Ferreira, Armando Sousa +2
Renewable energy communities (RECs) coordinate buildings, photovoltaic generation, batteries, electric vehicles and flexible loads. Controller studies often simplify changing parti…
Counter-Dyna: Data-Efficient RL-Based HVAC Control using Counterfactual Building Models
Jan Marco Ruiz de Vargas, Fabian Raisch, Zoltan Nagy +2
Model-based reinforcement learning (MBRL) offers a promising approach for data-efficient energy management in buildings, combining the strengths of predictive modeling and reinforc…
Toward a foundational thermal model for residential buildings
Ting-Yu Dai, Kingsley Nweye, Dev Niyogi +1
The building energy community lacks a foundational thermal model, i.e., a single pretrained model capable of generalizing across diverse buildings, climates, and control strategies…
Coordination Architecture Shapes Continuous Demand Response Outcomes in Building Districts
Ava Mohammadi, Rick Kramer, Zoltan Nagy
Grid-integrated building districts must provide energy flexibility while preserving occupant comfort and equitable distribution of control burden. We study how coordination archite…
Applications in CityLearn Gym Environment for Multi-Objective Control Benchmarking in Grid-Interactive Buildings and Districts
Kingsley Nweye, Zoltan Nagy
It is challenging to coordinate multiple distributed energy resources in a single or multiple buildings to ensure efficient and flexible operation. Advanced control algorithms such…
CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities
Kingsley Nweye, Kathryn Kaspar, Giacomo Buscemi +12
As more distributed energy resources become part of the demand-side infrastructure, it is important to quantify the energy flexibility they provide on a community scale, particular…
EVLearn: Extending the CityLearn Framework with Electric Vehicle Simulation
Tiago Fonseca, Luis Ferreira, Bernardo Cabral +4
Intelligent energy management strategies, such as Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) emerge as a potential solution to the Electric Vehicles' (EVs) integration into th…