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[HTML][HTML] Considerations for estimating operational greenhouse gas emissions in whole building life-cycle assessments
Building operations, which include the energy from electricity and natural gas account for
about 28% of global greenhouse gas (GHG) emissions. Stakeholders need accurate …
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
Building energy modeling (BEM) has become increasingly used in building energy
conservation research. Prototype building models are developed to represent the typical …
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
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 …
embodied emissions, there is a lack of national-level data on embodied carbon emissions …
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics
Buildings play a crucial role in human well-being, influencing occupant comfort, health, and
safety. Additionally, they contribute significantly to global energy consumption, accounting …
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
The shift toward urban decarbonization, which involves transitioning to heat pumps and
integrating photovoltaic (PV) energy generation, poses substantial challenges to electricity …
integrating photovoltaic (PV) energy generation, poses substantial challenges to electricity …
Addressing heterogeneity in federated load forecasting with personalization layers
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 …
training short-term load forecasting models. In response to privacy concerns, federated …
Federated short-term load forecasting with personalization layers for heterogeneous clients
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 …
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
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 …
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
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 …
sectors in the Electric Reliability Council of Texas (ERCOT) during Winter Storm Uri. ERCOT …
Privacy-preserving load forecasting via personalized model obfuscation
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 …
consumption data, suitable for training building-level load forecasting models. To mitigate …