As the energy system transitions to an intelligent smart grid with a mostly renewable energy
supply, synthetic energy time series are required to facilitate the development and …

Plug load management systems are touted as promising solutions to reduce the rising
energy consumption of plug loads in commercial buildings through different load monitoring …

Building energy consumption prediction has gotten a lot of attention in the literature since it
is a complicated process influenced by a lot of different factors. Hence, precisely calculating …

Residential energy consumption data and related sociodemographic information are critical
for energy demand management, including providing personalized services, ensuring …

To respond to the increasing demand for a comfortable, productive and energy efficient
study environment, the application of artificial intelligence technologies in the smart control …

Building energy consumption prediction is an essential foundation for energy supply-
demand regulation. Among them, plug-load energy consumption in buildings accounts for …

The utilization of energy consumption data is crucial for efficient operation and planning in
smart grids. Nonetheless, certain obstacles need to be addressed, such as high …

Electrification in buildings is an inevitable trend under carbon neutrality targets and this
increases the penetration rate of renewable energy sources in power grids. Understanding …

The extraction and analysis of electricity consumption changing patterns are increasingly
important, as they can guide in energy management and efficiency retrofitting …

Energy consumption in residential buildings accounts for a large portion of global energy
use. Understanding residential building load characteristics is important in both the design …