In the background of the continued integration of renewable energy sources (RES) and the
increasing flexibility on the demand side, the diversity and complexity of new technologies …

Due to having the characters of non-linear and non-stationary, it is difficult to accurately
predict the air conditioning cooling load. In order to predict the load more accurately, this …

Air conditioning system is extensively used in large commercial buildings. The fast and
accurate building cooling load forecasting is the basis for improving the operation efficiency …

Data driven-based building energy load prediction is of great value for building energy
management tasks such as fault diagnosis and optimal control. However, there are two …

Accurate energy consumption prediction is the basis of predictive control for heating,
ventilation and air conditioning (HVAC) systems. Data-driven models are widely used for …

Advanced data mining methods have shown a promising capacity in building energy
management. However, in the past decade, such methods are rarely applied in practice …

The task of building energy prediction (BEP) is essential to several emerging research
domains, including energy management, control optimization and fault detection. An …

Traditional modeling methods for digging load of excavators are often computationally
expensive and require prior knowledge of soil parameters, which severely limits their …

Due to the strong nonlinearity, stochasticity, and high coupling of multi-energy loads, this
paper proposes a time-series probabilistic forecasting method based on radial basis …

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 …