[HTML][HTML] Considerations for estimating operational greenhouse gas emissions in whole building life-cycle assessments

F Greer, P Raftery, A Horvath - Building and Environment, 2024 - Elsevier
Building operations, which include the energy from electricity and natural gas account for
about 28% of global greenhouse gas (GHG) emissions. Stakeholders need accurate …

Chinese prototype building models for simulating the energy performance of the nationwide building stock

J An, Y Wu, C Gui, D Yan - Building Simulation, 2023 - Springer
Building energy modeling (BEM) has become increasingly used in building energy
conservation research. Prototype building models are developed to represent the typical …

Circular economy policies for decarbonization of US commercial building stocks: Data integration and system dynamics coflow modeling approach

R Eissa, IH El-Adaway - Journal of Management in Engineering, 2024 - ascelibrary.org
Despite the recognition of the built environment as a sector with high potential for reducing
embodied emissions, there is a lack of national-level data on embodied carbon emissions …

BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics

A Prabowo, X Lin, I Razzak, H Xue, EW Yap… - arxiv preprint arxiv …, 2024 - arxiv.org
Buildings play a crucial role in human well-being, influencing occupant comfort, health, and
safety. Additionally, they contribute significantly to global energy consumption, accounting …

Towards Auto-Calibrated UBEM Using Readily Available, Underutilized Urban Data: A Case Study for Ithaca, NY

P Kastner, T Dogan - Energy and Buildings, 2024 - Elsevier
The shift toward urban decarbonization, which involves transitioning to heat pumps and
integrating photovoltaic (PV) energy generation, poses substantial challenges to electricity …

Addressing heterogeneity in federated load forecasting with personalization layers

S Bose, Y Zhang, K Kim - arxiv preprint arxiv:2404.01517, 2024 - arxiv.org
The advent of smart meters has enabled pervasive collection of energy consumption data for
training short-term load forecasting models. In response to privacy concerns, federated …

Federated short-term load forecasting with personalization layers for heterogeneous clients

S Bose, K Kim - arxiv preprint arxiv:2309.13194, 2023 - arxiv.org
The advent of smart meters has enabled pervasive collection of energy consumption data for
training short-term load forecasting (STLF) models. In response to privacy concerns …

Using Flexibility Envelopes for the Demand-Side Hierarchical Optimization of District Heating Networks

A Blizard, CN Jones, S Stockar - 2024 European Control …, 2024 - ieeexplore.ieee.org
The demand-side control of district heating networks is notoriously challenging due to the
large number of connected users and the high number of states to be considered. To …

Assessing the potential for building sector retrofits to mitigate ERCOT electricity shortfalls during Winter Storm Uri

MJ Skiles, JD Rhodes, ME Webber - arxiv preprint arxiv:2403.01027, 2024 - arxiv.org
This analysis investigates energy performance of the residential and commercial building
sectors in the Electric Reliability Council of Texas (ERCOT) during Winter Storm Uri. ERCOT …

Privacy-preserving load forecasting via personalized model obfuscation

S Bose, Y Zhang, K Kim - 2024 IEEE Power & Energy Society …, 2024 - ieeexplore.ieee.org
The widespread adoption of smart meters provides access to detailed and localized load
consumption data, suitable for training building-level load forecasting models. To mitigate …