Zoltán Nagy
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View article: Transitioning to green cities: Analyzing European urban development models for sustainable growth
Transitioning to green cities: Analyzing European urban development models for sustainable growth Open
The transition to green energy and sustainable urban planning, guided by EU policies and local community perceptions, has positioned the concept of the “green city” as a key topic in both academic and practical discourse. This study provid…
View article: EVLearn: extending the cityLearn framework with electric vehicle simulation
EVLearn: extending the cityLearn framework with electric vehicle simulation Open
Intelligent energy management strategies, such as Vehicle-to-Grid (V2G) and Grid-to-Vehicle (V1G) emerge as a potential solution to the Electric Vehicles’ (EVs) integration into the energy grid. These strategies promise enhanced grid resil…
View article: Strategies to Implement a Community-Based, Longitudinal Cohort Study: The Whole Communities-Whole Health Case Study
Strategies to Implement a Community-Based, Longitudinal Cohort Study: The Whole Communities-Whole Health Case Study Open
This paper discusses the implementation of the Whole Communities-Whole Health (WCWH) initiative, which is a community-based, longitudinal cohort study. WCWH seeks to better understand the impact of location on family health and child devel…
View article: 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 communities Open
As more distributed energy resources become part of the demand-side\ninfrastructure, it is important to quantify the energy flexibility they provide\non a community scale, particularly to understand the impact of geographic,\nclimatic, and…
View article: Applications in CityLearn Gym Environment for Multi-Objective Control Benchmarking in Grid-Interactive Buildings and Districts
Applications in CityLearn Gym Environment for Multi-Objective Control Benchmarking in Grid-Interactive Buildings and Districts Open
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 as model predictive control and reinforcement learning con…
View article: Overview of occupant-centric KPIs for building performance and their value to various building stakeholders
Overview of occupant-centric KPIs for building performance and their value to various building stakeholders Open
Recognizing the significance of occupants and their interactions with the building's operational systems, various occupant-related key performance indicators (KPIs) have been established. However, there remains a notable gap concerning the…
View article: EVLearn: Extending the CityLearn Framework with Electric Vehicle Simulation
EVLearn: Extending the CityLearn Framework with Electric Vehicle Simulation Open
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 the energy grid. These strategies promise enhanced grid resil…
View article: Heatalyzer: A Tool for Evaluating Indoor Comfort in Buildings during Extreme Heat Events
Heatalyzer: A Tool for Evaluating Indoor Comfort in Buildings during Extreme Heat Events Open
The increase in heatwaves due to climate change poses significant challenges to both indoor thermal comfort and occupant well-being. Unfortunately, existing work does not quantify the impact of extreme heat events as a function of building…
View article: Hungary: Regulation of Sustainable Fiscal Policy in Hungary
Hungary: Regulation of Sustainable Fiscal Policy in Hungary Open
This chapter presents and analyses the issue of sustainable fiscal management, focusing on the Hungarian budget. Sustainable fiscal management is closely linked to the principles of the European Union (EU); to this end, fiscal policy focus…
View article: CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling
CityTFT: Temporal Fusion Transformer for Urban Building Energy Modeling Open
Urban Building Energy Modeling (UBEM) is an emerging method to investigate urban design and energy systems against the increasing energy demand at urban and neighborhood levels. However, current UBEM methods are mostly physic-based and tim…
View article: A Comparison of Different Deep Learning Model Architectures and Training Strategy for Urban Energy Modeling
A Comparison of Different Deep Learning Model Architectures and Training Strategy for Urban Energy Modeling Open
To address the pressing issue of urbanization and its significant energy consumption, the development of urban building energy modeling (UBEM) is an ongoing mission. This research explores the integration of machine learning (ML) models in…
View article: SCALEX: SCALability EXploration of Multi-Agent Reinforcement Learning Agents in Grid-Interactive Efficient Buildings
SCALEX: SCALability EXploration of Multi-Agent Reinforcement Learning Agents in Grid-Interactive Efficient Buildings Open
Renewable energy transition and decarbonization pose significant challenges for grid-interactive efficient building communities. The optimization of intermittent renewable energy can be achieved using advanced control architecture and ener…
View article: UTwin: A digital twin of the UT Austin campus
UTwin: A digital twin of the UT Austin campus Open
As cities and buildings become more interconnected, there is a need for better data management. Digital twins offer a potential solution, integrating building data, operations, and scenario simulation in one platform. In this paper, we pre…
View article: Heterogeneous Multi-Agent Reinforcement Learning for Grid-Interactive Communities
Heterogeneous Multi-Agent Reinforcement Learning for Grid-Interactive Communities Open
Homogeneous Multi-Agent Reinforcement Learning (MARL) is well studied in games, robots, and simulations. What has not been fully explored is the effectiveness of Heterogeneous MARL in the building space. Heterogeneous MARL has been proven …
View article: CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities
CityLearn v2: An OpenAI Gym environment for demand response control benchmarking in grid-interactive communities Open
As more distributed energy resources become part of the demand-side infrastructure, it is important to quantify the energy flexibility they provide, as well as identify the best control strategies to accelerate their real-world adoption. C…
View article: How good is the advice from ChatGPT for building science? Comparison of four scenarios
How good is the advice from ChatGPT for building science? Comparison of four scenarios Open
This paper resulted from several questions discussed between its human authors shortly after the public launch of OpenAI’s ChatGPT: Can a language model, trained on an unimaginably vast database, be able to resolve fundamental data inferen…
View article: Unsupervised estimation of residential electricity outages from aggregated meter data
Unsupervised estimation of residential electricity outages from aggregated meter data Open
Winter Storm Uri left a devastating impact on Austin's power grid and highlighted the need for preparation in the face of extreme weather events.To better understand the load lost during Uri and identify vulnerable areas, an ensemble appro…
View article: IEA EBC Annex 81 – Data-driven smart buildings: Building-to-grid applications
IEA EBC Annex 81 – Data-driven smart buildings: Building-to-grid applications Open
Within the IEA EBC Annex 81 – “data-driven smart buildings”, the sub-task C3 – “Building-to-Grid (B2G) applications” focuses on developing an online platform to gather, evaluate, compare, present and promote concrete cases in which a build…