Building energy prediction techniques are the primary tool for moving towards sustainable
built environments. Energy prediction models play irreplaceable roles in making energy …

This research presents a methodological framework for lifetime energy demand and PV
energy generation predictions for a given building considering the CC impacts through …

Energy consumption prediction is an integral part of planning and controlling energy used in
the building sector which accounts for 40% of the global energy consumption and a …

The prediction of building energy use is the basis for smart building operation, which
optimizes building performance through control and low-energy strategy. For reducing …

Prediction of the energy consumed by household appliances is a challenging research topic
owing to a transition toward the Internet of Everything. Although classical machine learning …

The demand for efficient natural ventilation (NV) systems has increased for the development
of sustainable buildings. However, the uncertainty of NV remains a challenging issue for …

Improving building performance is of great significance to protecting the ecology, saving
energy and enhancing the living environment. This paper developed a comprehensive …

Accurately forecasting energy consumption in a building is an important strategy for
achieving the goal of reducing energy demand and improving energy efficiency. University …

Carbon emissions of existing buildings in China have accounted for over 1/4 of the national
total, and energy management in the building sector is influenced by energy performance …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …