We propose a stabilized model for the electricity generation management problem on a yearly scale. We also introduce an original and efficient solution method in a particular case. Our model is compared to other management methods and offers the best average cost while preserving a reasonable standard deviation of the cost over a set of testing scenarios.

the purpose of this study is to examine the possible impact of value systems on earnings management in france, tunisia and canada. cultural values include power distance, uncertainty avoidance, individualism, masculinity and long-term orientation. the cross-cultural study uses the method of structural equations trough lisrel approach. the examination covers the period between 2003 and 2009. fin...

This paper describes and evaluates predictive power management algorithms that we have developed to minimize energy consumption and unmet demand in parallel computer systems. The algorithms are evaluated using workload data obtained from production servers from several applications, showing that energy savings of 20% or more can readily be achieved, with a small degree of unmet demand and accep...

This paper proposes an autonomous and economic droop control scheme for DC microgrid application. In this method, a cost-effective power sharing technique among various types of DG units is properly adopted. The droop settings are determined based on an algorithm to individually manage the power management without any complicated optimization methods commonly applied in the centralized control ...

under the smart grid environments, demand response resources (drrs) as power system resources can effectively participate in and improve performance of electric systems. congestion management is one of the technical challenges in which drrs can play a significant role. previously, congestion management is applied without considering the power system uncertainties. therefore, a stochastic conges...

In the deregulated power systems, transmission congestion is one of the significant and main problems of the electrical networks which can cause incremental cost in the energy. This problem has resulted to new challenging issues in different parts of power systems which there was not in the traditional systems or at least had very little importance. Transmission congestion happens when the maxi...

In this paper, we study the problem of power efficient tracking interval management for distributed target tracking wireless sensor networks (WSNs). We first analyze the performance of a distributed target tracking network with one moving object, using a quantitative mathematical analysis. We show that previously proposed algorithms are efficient only for constant average velocity objects howev...

Introduction Power levels and power density requirements continue to increase for many types of end equipment such as personal computers, servers, network and telecom systems. It demands higher performance from the components that make up the power management system. Until recently silicon has been the most important factor in improving power management system performance. However, improvements...