A case study of residential electricity consumption patterns mining and abnormal user
identification using hierarchical clustering is presented in this paper. First, based on a brief …

Smart meters play vital roles in the aspects of the management and operation of smart grids
such as demand response, energy efficiency improvement, and electricity pricing. Massive …

The recent increasing spread of Advanced Metering Infrastructure (AMI) has enabled the
collection of a huge amount of building related-data which can be exploited by both energy …

The use of actual electricity consumption data provided the chance to detect the change of
customer class types. This work could be done by using classification techniques. However …

Normally, electricity customer classification is based on the uncertain customer information
found in the customer information system, such as customer type, contract type, and so on …

Traditional artificial information processing and classification methods can not deal with
large-scale information well, and there is a problem of low classification purity. In view of the …

Aiming at the problem of low push precision and efficiency of traditional system, a global
tourism route information push system based on GIS is designed. In order to improve the …

This paper explores the pros and cons of different algorithm models on the same selection
problem, and then uses the combined prediction theory to obtain a new combined prediction …

Advanced metering infrastructures are enabling the collection of large amounts of building-
related data that are leading to a profound transformation of the energy management …

The progressive spread of Advanced Metering Infrastructure (AMI) has enabled the
collection of a huge amount of building related-data which can be exploited by both energy …