Accurately forecasting energy consumption is beneficial and pivotal for effectively managing
variable refrigerant flow (VRF) systems. Changes in energy consumption provide an intuitive …

Variable refrigerant flow (VRF) system contains numerous sensors and has the advance for
fast response, which is suitable for building demand response (DR) management. Fast and …

The variable refrigerant flow (VRF) system has extremely different energy performance at
various operation conditions. Its power consumption is inconsistent even under the steady …

The control optimization of a variable refrigerant flow (VRF) system requires an accurate
electricity load forecast because VRF systems have a wide range of energy consumption …

Energy consumption prediction plays an important role in building design & retrofit, energy
management system. In this paper, ECI (Energy consumption intensity) of VRV (Variable …

Predicting electricity consumption is notably essential to provide a better management
decision and company strategy. This study presents a hybrid machine learning model by …

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

The prediction of residential building electricity consumption can help provide an early
warning regarding abnormal energy use and optimize energy supply. In this study, a …

Future energy planning relies on understanding how much energy is produced and
consumed. In response, this study developed a multihybrid adaptive neuro‐fuzzy inference …

Building energy data analysis is a major branch of smart city development research. The
usual back propagation neural network model for building energy prediction has problems …