Zoltan Nagy

The CityLearn Challenge 2020

José R. Vázquez-Canteli, Gregor Henze, Sourav Dey, 2020, BuildSys@SenSys.

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms on a Building Energy Demand Coordination Task

José R. Vázquez-Canteli, Zoltan Nagy, Gauraang Dhamankar, 2020, Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities.

HVAC Scheduling based on Wi-Fi derived Occupancy

Zoltan Nagy, Kingsley Nweye, 2020, BuildSys@SenSys.

MARLISA: Multi-Agent Reinforcement Learning with Iterative Sequential Action Selection for Load Shaping of Grid-Interactive Connected Buildings

José R. Vázquez-Canteli, Gregor Henze, Zoltan Nagy, 2020, BuildSys@SenSys.

HVACLearn: A reinforcement learning based occupant-centric control for thermostat set-points

June Young Park, Zoltan Nagy, 2020, e-Energy.

Ecologically Valid Multimodal Data Collection

Hagen Fritz, Zoltan Nagy, 2020, BuildSys@SenSys.

Spatial Information Based OSort for Real-Time Spike Sorting Using FPGA

Zoltan Kincses, Laszlo Schäffer, Istvan Ulbert, 2020, IEEE Transactions on Biomedical Engineering.

Impact of COVID-19 on Academic Campus Energy Use

Zoltan Nagy, Kingsley Nweye, 2020, BuildSys@SenSys.

Viability of a Dense, Low-Cost Particulate Matter Sensor Network

Calvin Lin, Hagen Fritz, Zoltan Nagy, 2020, BuildSys@SenSys.

Real-world challenges for reinforcement learning in building control pdf

Zoltan Nagy, Kingsley Nweye, 2021, ArXiv.