Effective management of energy consumption during the COVID-19 pandemic: The role of ICT solutions
This research tackles effective and functional management practices in energy consumption
using advanced technological solutions to mitigate unexpected events. This study …
using advanced technological solutions to mitigate unexpected events. This study …
Investigating the performance of machine learning models combined with different feature selection methods to estimate the energy consumption of buildings
Abstract Machine learning is considered a promising method for develo** building energy-
benchmarking models. However, the high dimensionality of building energy datasets can …
benchmarking models. However, the high dimensionality of building energy datasets can …
EnergyStar++: Towards more accurate and explanatory building energy benchmarking
Building energy performance benchmarking has been adopted widely in the USA and
Canada through the Energy Star Portfolio Manager platform. Building operations and energy …
Canada through the Energy Star Portfolio Manager platform. Building operations and energy …
Investigating the nexus between environmental information disclosure and green development efficiency: The intermediary role of green technology innovation—a …
H Yuan - Journal of the Knowledge Economy, 2024 - Springer
This study investigates the intricate relationship between environmental information
disclosure (EID) and green development efficiency (GDE) in Chinese cities from 2005 to …
disclosure (EID) and green development efficiency (GDE) in Chinese cities from 2005 to …
SynCity: Using open data to create a synthetic city of hourly building energy estimates by integrating data-driven and physics-based methods
Cities officials are increasingly interested in understanding spatial and temporal energy
patterns of the built environment to facilitate their city's transition to a low-carbon future. In …
patterns of the built environment to facilitate their city's transition to a low-carbon future. In …
Beyond Energy Efficiency: A clustering approach to embed demand flexibility into building energy benchmarking
The intermittency of carbon-free renewables and the demand changes associated with the
widespread push for electrifying the transportation and building sectors provides an …
widespread push for electrifying the transportation and building sectors provides an …
[HTML][HTML] Building energy loads prediction using bayesian-based metaheuristic optimized-explainable tree-based model
The study presents a sophisticated hybrid machine learning methodology tailored for
predicting energy loads in occupied buildings. Leveraging eight pivotal input features …
predicting energy loads in occupied buildings. Leveraging eight pivotal input features …
Energy consumption prediction and energy-saving suggestions of public buildings based on machine learning
Energy consumption prediction can help the government to formulate building energy
consumption quotas and buildings energy consumption correlation analysis can provide a …
consumption quotas and buildings energy consumption correlation analysis can provide a …
Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature
The ever-changing data science landscape is fueling innovation in the built environment
context by providing new and more effective means of converting large raw data sets into …
context by providing new and more effective means of converting large raw data sets into …
Exploring the influence of urban context on building energy retrofit performance: A hybrid simulation and data-driven approach
Cities are an integral part to meeting the world's sustainable energy goals. Specifically,
retrofits have been implemented to improve energy efficiency and reduce carbon emissions …
retrofits have been implemented to improve energy efficiency and reduce carbon emissions …