Energy Poverty (EP) is a widespread problem in Europe. EP detection is hampered by a lack
of data and global metrics. Recently, innovative approaches using Artificial Intelligent (AI) …

For accommodating rapidly increasing power demands, power systems are transitioning
from analog systems to systems with increasing digital control and communications …

With the ever-growing demand of electric power, it is quite challenging to detect and prevent
Non-Technical Loss (NTL) in power industries. NTL is committed by meter bypassing …

Steady‐state forecasting is indispensable for power system planning and operation. A
forecasting model for inputs considering their historical record is a preliminary step for such …

Smart meter (SM) deployment in the residential context provides a vast amount of data that
allows diagnose the behavior of household inhabitants. However, the conventional methods …

The prevalence of energy poverty as a major challenge in numerous countries, the
escalating energy crisis and the need to build just supporting mechanisms within the net …

Electricity theft is the main reason for non-technical losses (NTL) in distribution networks,
which can lead to great economic losses in power supply enterprises. Efficient and accurate …

The electrical energy system is undergoing major changes due to the necessity for more
sustainable energy generation and the following increased integration of novel grid …

针对海量电力负荷数据, 提出一种基于空间密度聚类和异常数据域的负荷异常值识别方法. 首先,
基于空间密度聚类方法将负荷曲线按照正常和异常用电模式进行分类, 并对正常用电模式中的 …

Besides the non-technical losses of power companies, theft of electricity is the most serious
and dangerous one. The fraudulent power consumption degrades the quality of supply and …