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 …

The energy use prediction of building systems is crucial to design a high-efficiency building
and maintain low energy consumption operation, which is also important in optimizing …

This study aims to investigate the measurement parameters for predicting the electric energy
consumption of residential buildings using a data-driven model. Herein, the temporal …

Prediction of electricity consumption is a key research area for efficient power grid operation.
Accurate electricity consumption predictions of buildings can prevent power shortages in …

As with many other sectors, to improve the energy performance and energy neutrality
requirements of individual buildings and groups of buildings, built environment is also …

Accurately predicting energy usage in buildings is of great importance in various efforts on
improving building energy efficiencies such as fault detection and diagnostics, building-grid …

Building energy prediction is a potential tool for benchmarking the future energy uses of
individual buildings. However, inevitable gaps between predicted and actual energy uses …

Accurate building energy consumption prediction plays an important role in building energy
management and energy policy. However, traditional prediction methods of building energy …

The application of data-driven building energy load prediction technologies remains a time-
consuming effort, since it highly relies on human expertise to train data-driven building …

With the development of data-driven techniques, district-scale building energy prediction
has attracted increasing attention in recent years for revealing energy use patterns and …