Traditional electricity grid offers demand side management (DSM) programs for industrial plants and commercial buildings; there is no such program for residential consumers because of the lack of effective automation tools and efficient information and communication technologies (ICTs). Smart...

The main purpose of this study is to investigate, by using regressions analysis, the DR effect on households' electricity consumption. We employ three kinds of estimation models: a pooled OLS model, a random effect model, and a fixed effect model. Major results are as follows. First, the DR...

Residential Thermostatically Controlled Load (TCLs) such as Air Conditioners (ACs), heat pumps, water heaters, and refrigerators have an enormous thermal storage potential for providing regulation reserve to the grid. In this paper, we study the potential resource and economic analysis of TCLs...

The growing demand for electricity, coupled with increased efficiency requirements, creates new opportunities for the development of demand-side management systems. Here we describe an approach for load allocation among different classes of device. We adopt the concept of strategic choice to...

The main purpose of this study is to investigate the difference between incentive effects and physical condition effects in electricity saving behaviors of households, by applying stochastic frontier models for the demand function. As for incentives, we consider both internal incentives such as...

The aim of this work is to demonstrate analytically under what conditions activating elasticity of demand of consumers could be beneficial for the social welfare. It has added to the literature on analyzing the use of price signals in eliciting demand response by an analytical approach. We...

Thermal energy storage (TES) have been shown to be locally beneficial, helping building managers reduce their electricity bills. Due to increasing interest in TES, it is important for utilities and policy-makers alike to consider the economic implications of increasing TES penetration levels on...

adoption of “Smart Energy Behaviour”. Within this term we include different levels of: i) shift in electricity consumption towards less costly-less polluting and congestioning hours; ii) the reduction of mainly wasteful electricity consumption, that maintains similar levels of comfort; iii)...

To reduce the influence of wind power output uncertainty on power system stability, demand response (DRPs) and energy storage systems (ESSs) are introduced while solving scheduling optimization problems. To simulate wind power scenarios, this paper uses Latin Hypercube Sampling (LHS) to generate...

This paper presents a methodology to systematically formulate a hybrid renewable energy system (HRES), which consists of solar, wind and diesel generator as a backup resource as well as battery storage, from the preliminary design stage to the optimal operation. Detailed modeling of each system...