The integration of a high number of plug-in electric (PEV) vehicles could lead to overloads in the systems assets and demand peaks if the charge of the fleet is left uncontrolled. However, with the use of smart-charging strategies these problems could be avoided. In this work the development of a smartcharging strategy is presented. The goal of each electric vehicle, modeled as an agent, is to ...

Thanks to the uncertainty and fluctuation of wind power, mismatch between supply load is increasing. Consequently, power should be responsible for imbalance caused by its volatility. Meanwhile, thermostatic (TCL) becoming a promising regulation capacity provider with development demand side technology. This paper proposes combined energy market framework encourage pay cost. And cooperation pres...

Design and implementation of classification algorithm in data mining prototype system is described in this paper. This function analyzes a set of training data, constructs a model for each class based on the features in the data, and adjusts the model based on the test data. The architecture of data mining prototype system is defined and the algorithms including ID3,C4.5,SLIQ and Bayesian is di...

Flexibility in power demand, diverse usage patterns and storage capability of plug-in electric vehicles (PEVs) grow the elasticity of residential electricity demand remarkably. This elasticity can be utilized to form the daily aggregated demand profile and/or alter instantaneous demand of a system wherein a large number of residential PEVs share one electricity retailer or an aggregator. In thi...

This paper examines the bidding for school milk contracts in Florida and Texas during the 1980s. In both states firms were convicted of bid-rigging. The data and legal evidence suggest that the cartels in the two states allocate contracts in different ways: One cartel divides the market among members, while the other cartel also uses side payments to compensate members for refraining from biddi...

The application of autonomous agents by the provisioning and usage of computational resources is an attractive research field. Various methods and technologies in the area of artificial intelligence, statistics and economics are playing together to achieve i) autonomic resource provisioning and usage of computational resources, to invent ii) competitive bidding strategies for widely used market...

A nested transactive energy (TE) market methodology is presented in this paper for the effective utilization of demand-side flexibility small-scale residential consumers. The consumers' flexibilities are traded a local to prevent transformer overloading, whereas an event-triggered central wholesale demand response after successive aggregation intermediate layers. two-stage optimization-based sc...