This article studies the planning of swapping electric vehicle (SEV) battery centralized
charging station (BCCS) based on EV spatial-temporal load forecasting. First, according to …

With the construction of new-type power system under the” double carbon” target and the
increasing diversification of the energy demand of the user side, the short-term load …

Load forecasting has significant implications on optimizing the operation of air conditioning
systems for industrial mushroom houses and energy saving. This research paper presents a …

This paper first studies the working mechanism of a variable frequency air conditioner, then
a detailed modeling of a variable frequency air conditioner is established, in which the motor …

Non-intrusive load monitoring (NILM) dissects smart meter data to extract individual device
consumption, primarily focusing on residential users. However, energy-intensive industries …

It is critical to forecast the electric load for a region. Traditional electric load forecasting
frequently predicts the load of multiple transformers in the region after directly summing …

Smart energy management encompasses energy consumption prediction and energy data
analytics. Energy consumption prediction or electric load forecasting leverages …

Optimizing the energy grid management will enhance the effective and efficient use of
generated energy. Accurate energy estimations allow power-generating firms to use …

Aiming to predict the charging and discharging power of electric vehicles, a Power
Prediction method for Electric Vehicle is proposed by considering their real-time State of …

In order to more accurately describe the load changes in the power system and establish a
suitable load model, a probabilistic statistical model of desk load based on improved cluster …