Most of the developed and develo** countries around the world are delving into the
implementation of demand response (DR) strategies in demand side management (DSM) to …

With the proliferation of Internet of Things (IoT) sensors and metering infrastructures in
buildings, external energy benchmarking, driven by time series analytics, has assumed a …

Considering the growing demand for electricity in industrial parks, understanding their
electric power load patterns is critical for improving energy efficiency and ensuring the …

In the dynamic landscape of retail, understanding customer behavior is paramount for
businesses seeking to optimize marketing strategies and enhance the shop** experience …

Smart meter datasets have recently transitioned from monthly intervals to one-second
granularity, yielding invaluable insights for diverse metering functions. Clustering analysis, a …

Effective and well-structured customer segmentation enables organizations to accurately
identify and comprehend the distinct characteristics and needs of various customer groups …

Purpose On the one hand, this paper is to further understand the residents' differentiated
power consumption behaviors and tap the residential family characteristics labels from the …

Abstract Smart Meters (SMs) degradation trend evaluation (DTE) is critical for accurate
electricity metering and improved energy efficiency, particularly in extreme natural …

We hypothesize that highly-valued bank customers with current accounts can be identified
by a high frequency of transactions in large amounts of money. To test our hypothesis, we …

The measurement error (ME) of smart meters (SMs) is a key index for assessing their
performance, so accurate prediction of SMs' ME is essential. However, SMs operate in all …