125 citations · 338 across the 8 of their papers we have counts for
8 papers
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…
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…
MERLIN: Multi-agent offline and transfer learning for occupant-centric energy flexible operation of grid-interactive communities using smart meter data and CityLearn
Kingsley Nweye, Siva Sankaranarayanan, Zoltan Nagy
The decarbonization of buildings presents new challenges for the reliability of the electrical grid as a result of the intermittency of renewable energy sources and increase in gri…
Data-Driven Key Performance Indicators and Datasets for Building Energy Flexibility: A Review and Perspectives
H. Li, H. Johra, F. de Andrade Pereira +15
Energy flexibility, through short-term demand-side management (DSM) and energy storage technologies, is now seen as a major key to balancing the fluctuating supply in different ene…
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings
Kingsley Nweye, Bo Liu, Peter Stone +1
Building upon prior research that highlighted the need for standardizing environments for building control research, and inspired by recently introduced challenges for real life re…
MARTINI: Smart Meter Driven Estimation of HVAC Schedules and Energy Savings Based on WiFi Sensing and Clustering
Kingsley Nweye, Zoltan Nagy
HVAC systems account for a significant portion of building energy use. Nighttime setback scheduling is an energy conservation measure where cooling and heating setpoints are increa…