Jiangzhao Wang

Hunan University · Department of Electrical Engineering

The industrial flotation process plays a crucial role in metallurgical production. Accurate monitoring of the industrial flotation process is particularly important. However, the industrial flotation process is intricate, involving numerous variables, making it challenging to achieve precise control over quality parameters. To address these issues,...

For the increasingly serious phenomenon of electricity theft, many researchers are trying to detect it. Traditional detection methods rely on physical inspection, which has low detection efficiency and high cost. However, the rapid application of advanced metering infrastructure (AMI) makes it possible to detect electricity theft via smart meters....

Electricity theft has been a major concern all over the world. There are great differences in electricity consumption among residents from different regions. However, the existing supervised methods of machine learning are not in detecting electricity theft from different regions, while the development of transfer learning provides a new view for s...

Nowadays, electricity theft has been a major problem worldwide. Although many single-classification algorithms or an ensemble of single learners (i.e., homogeneous ensemble learning) have proven able to automatically identify suspicious customers in recent years, after the accuracy of these methods reaches a certain level, it still cannot be improv...

State of charge (SOC) estimations are an important part of lithium-ion battery management systems. Aiming at existing SOC estimation algorithms based on neural networks, the voltage increment is proposed in this paper as a new input feature for estimation of the SOC of lithium-ion batteries. In this method, the port voltage, current and voltage inc...