Energy prediction techniques for large-scale buildings towards a sustainable built environment: A review
AAA Gassar, SH Cha - Energy and Buildings, 2020 - Elsevier
Building energy prediction techniques are the primary tool for moving towards sustainable
built environments. Energy prediction models play irreplaceable roles in making energy …
built environments. Energy prediction models play irreplaceable roles in making energy …
Building-level and stock-level in contrast: A literature review of the energy performance of buildings during the operational stage
MS Geraldi, E Ghisi - Energy and Buildings, 2020 - Elsevier
This paper aimed to review the literature of the past ten years about the energy performance
of buildings during their operational stage. The focus of this review was empirical works that …
of buildings during their operational stage. The focus of this review was empirical works that …
[HTML][HTML] Energy data generation with wasserstein deep convolutional generative adversarial networks
Residential energy consumption data and related sociodemographic information are critical
for energy demand management, including providing personalized services, ensuring …
for energy demand management, including providing personalized services, ensuring …
[HTML][HTML] Federated-WDCGAN: A federated smart meter data sharing framework for privacy preservation
Energy consumption data are crucial for various smart energy management applications,
such as demand forecasting, customer segmentation, and energy efficiency analysis …
such as demand forecasting, customer segmentation, and energy efficiency analysis …
The impacts of building characteristics, social psychological and cultural factors on indoor environment quality productivity belief
Indoor environmental quality (IEQ) plays a key role in determining occupants' productivity at
work; however, analyses of the interconnected factors among building physical, attitudinal …
work; however, analyses of the interconnected factors among building physical, attitudinal …
Power demand response in the context of smart home application
B Yu, F Sun, C Chen, G Fu, L Hu - Energy, 2022 - Elsevier
Smart home, is expected to bring great changes to people's lifestyles. By shifting the timing
of residents' electricity consumption, smart home can improve the flexibility of the power …
of residents' electricity consumption, smart home can improve the flexibility of the power …
Association rule mining based quantitative analysis approach of household characteristics impacts on residential electricity consumption patterns
The comprehensive understanding of the residential electricity consumption patterns (ECPs)
and how they relate to household characteristics can contribute to energy efficiency …
and how they relate to household characteristics can contribute to energy efficiency …
Explaining household electricity consumption using quantile regression, decision tree and artificial neural network
Electricity as an energy carrier par excellence has a vital role in economic development.
However, even with the transformation of power systems that follows technological …
However, even with the transformation of power systems that follows technological …
[HTML][HTML] Development of electricity consumption profiles of residential buildings based on smart meter data clustering
In the present research, a high-resolution, detailed electric load dataset was assessed,
collected by smart meters from nearly a thousand households in Hungary, many of them …
collected by smart meters from nearly a thousand households in Hungary, many of them …
[HTML][HTML] What is stopping low-carbon buildings? A global review of enablers and barriers
É Mata, D Penaloza, F Sandkvist, T Nyberg - Energy Research & Social …, 2021 - Elsevier
Low-carbon solutions for buildings are key for attaining climate targets globally, but
understanding the factors influencing their adoption remains lacking. Thus, we …
understanding the factors influencing their adoption remains lacking. Thus, we …