With the advancement in smart grid and energy devices, demand response becomes one of most economic feasible solutions to ease load stress power grids during peak hours. In this work, we propose a fully decentralized ensemble control framework with consensus for (DR) events compatible methods based on random policies. We show that under is tailored DR, our proposed method yields same optimality...

Microgrids (MGs) usually consist of several types of Distributed Energy Resources (DERs) like renewable and conventional generation units, energy storages and responsive loads. In order to operate the MG with minimum cost and maximum reliably, an integrated scheduling model of DERs should be implemented. In this paper, an operational planning model of a MG which considers Demand Response (DR) a...

Demand Response (DR) programs and markets are being studied and developed to help increasing the efficiency of the generation especially with high penetration of renewable energies into the electric grid. This talk is divided into two main sections as they are being studied in the Renewable Energy Design Laboratory (REDLab) of the University of Hawaii at Manoa. First we present a theoretical fr...

Designing fair compensation mechanisms for demand response (DR) is challenging. This paper models the problem in a game theoretic setting and designs a payment distribution mechanism based on the Shapley Value. As exact computation of the Shapley Value is in general intractable, we propose estimating it using a reinforcement learning algorithm that approximates optimal stratified sampling. We a...

Utilities use Demand Response (DR) to balance supply and demand in the electric grid by involving customers in efforts to reduce electricity consumption during peak periods. To implement and adapt DR under dynamically changing conditions of the grid, reliable prediction of reduced consumption is critical. However, despite the wealth of research on electricity consumption prediction and DR being...

A dependency of the world on electrical energy has been increasing according to development of industry. To meet increasing power demand, existing generators have been expanded or new generators have been installed continually. But currently, the social acceptance for installing a new plant is difficult due to electromagnetic effects on human body, environmental pollutions, and so on. Therefore...

Smart Grid-The intelligent electricity grid empowers bi-directional communication between utility and its consumers. Unlike traditional grid, smart grid encourages consumers to participate in demand response program. Demand Response program allows the consumers to reduce or shift the energy usage from peak to offpeak period. This potentially offers energy efficiency. In this paper, we have prop...

Energy use for space heating is a substantial part of total energy end and systems can offer some flexibility in time use, which should be important future to maintain balance between supply demand. This work applies techno-economic, integrated, demand-supply optimization model investigate the combined effect using demand-side from buildings, by allowing indoor temperature deviations (both up- ...

TO THE EDITOR: We thank Dr. Kawada for his interest in our recent article (5) and for raising several important issues related to the analysis of actigraphy in alcoholics. First, as noted in his letter we did use the default setting of 40 for sleep/wake sensitivity. We did this to permit comparison with our other studies and with the general literature, which largely tends to use this setting (...

Close on the heels of the ^ IPS presidential address, exhorting one and all to integrate our speciality with other branches of medicine it is indeed a welcome study. In the course of our consultation liaison work, we too have noted significant burden in families, where a child has chronic medical/surgical illness. Highlighting this as a necessary focus of management plans and facilitating such ...