[HTML][HTML] Virtual power plant optimization in smart grids: A narrative review
Virtual power plants (VPPs) are promising solutions to address the decarbonization and
energy efficiency goals in the smart energy grid. They assume the coordination of local …
energy efficiency goals in the smart energy grid. They assume the coordination of local …
[HTML][HTML] Influence of Thermal Comfort on Energy Consumption for Building Occupants: The Current State of the Art
Thermal comfort is a complex issue in the built environment due to the physiological and
psychological differences of each individual in a building. There is a growing worry over the …
psychological differences of each individual in a building. There is a growing worry over the …
[HTML][HTML] A hybrid model of self-organizing map and deep learning with genetic algorithm for managing energy consumption in public buildings
Intelligent applications have become essential for effectively managing energy consumption
in public buildings. Energy management, especially for critical infrastructure buildings and …
in public buildings. Energy management, especially for critical infrastructure buildings and …
Convolutional neural network with genetic algorithm for predicting energy consumption in public buildings
Due to their capacity to improve energy consumption performance, intelligent applications
have recently assumed a pivotal position in the energy management of public buildings …
have recently assumed a pivotal position in the energy management of public buildings …
[HTML][HTML] Determinants and approaches of household energy consumption: A review
Considering the trend of home energy use in the context of global energy scarcity, this study
examines the effects of variables such as physical and social factors on household energy …
examines the effects of variables such as physical and social factors on household energy …
Application of predictive analytics in built environment research: A comprehensive bibliometric study to explore knowledge domains and future research agenda
The built environment (BE) sector has seen a significant digital transformation in the past few
decades. While predictive analytics (PA) plays a critical role in such a transition. Applications …
decades. While predictive analytics (PA) plays a critical role in such a transition. Applications …
[HTML][HTML] Perspectives of Machine Learning and Natural Language Processing on Characterizing Positive Energy Districts
The concept of a Positive Energy District (PED) has become a vital component of the efforts
to accelerate the transition to zero carbon emissions and climate-neutral living …
to accelerate the transition to zero carbon emissions and climate-neutral living …
A systematic review of mobile payment literature: What has been studied and what should be studied?
J Ha, C Nam, S Kim - Telecommunications Policy, 2024 - Elsevier
Mobile payment presently leads the fintech market as an alternative tool for daily
transactions. Mobile payment research has remained limited to the field of technological …
transactions. Mobile payment research has remained limited to the field of technological …
[HTML][HTML] Application of Machine Learning Models for Fast and Accurate Predictions of Building Energy Need
Accurate prediction of building energy need plays a fundamental role in building design,
despite the high computational cost to search for optimal energy saving solutions. An …
despite the high computational cost to search for optimal energy saving solutions. An …
[HTML][HTML] Knowledge Trajectories on Public Crisis Management Research from Massive Literature Text Using Topic-Clustered Evolution Extraction
F Wu, W Xu, C Lin, Y Zhang - Mathematics, 2022 - mdpi.com
Current research has ignored the hiddenness and the stochasticity of the evolution of public
crisis management research, making the knowledge trajectories still unclear. This paper …
crisis management research, making the knowledge trajectories still unclear. This paper …