A review of five widely applied short-term (up to 24 h) load forecasting techniques is
presented. These are: multiple linear regression; stochastic time series; general exponential …

A home energy management (HEM) system is an integral part of a smart grid that can
potentially enable demand response applications for residential customers. This paper presents …

The objective of this paper is to discuss the design and implementation of a multi-agent system
that provides intelligence to a distributed smart grid - a smart grid located at a distribution …

Associations between intimate partner violence (IPV) and poor physical and mental health
of women have been demonstrated in the international and national literature across …

As electric vehicles (EVs) take a greater share in the personal automobile market, their
penetration may bring higher peak demand at the distribution level. This may cause potential …

In order to support the growing interest in demand response (DR) modeling and analysis,
there is a need for physical-based residential load models. The objective of this paper is to …

A survey is presented of papers and reports that address various aspects of economic
dispatch. The time period considered is 1977-88. Four related areas of economic dispatch are …

A recently developed algorithm for short-term load forecasting is generalized. The algorithm
combines features from knowledge-based and statistical techniques. It is based on a …

Since the introduction of the smart grid, accelerated deployment of various smart grid
technologies and applications have been experienced. This allows the traditional power grid to …

Existing studies on 1-24 hr load forecasting algorithms are reviewed, and an expert-system-based
algorithm is presented as an alternative. The logical and syntactical relationships …