In the last decade Demand Response (DR) programs have been influencing loads' profiles of electric users who participate in these programs. The evolution of the simulations able to study them brought to the possibility of defining new models that can consider power consumption profiles for...

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...

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 future power system is characterized by more renewable and uncontrollable capacity at the supply side and an electrification of energy at the demand side. Both evolutions increase the need for flexibility in the power system. Although this flexibility can be triggered at the supply and...

Demand response (DR) has been considered as a generation alternative to improve the reliability indices of the system and load point. However, when the demand resources scheduled in the DR market fail to result in demand reductions, it can potentially bring new problems associated with...

A self-regulating distribution system simulation platform is presented for a smart-grid with Distributed Energy Resource (DER) wind power injection in which load flow fluctuations are controlled via self-regulating air-source heat pump (HP) cycling. The grid power injection fluctuations are...

This paper proposes a novel approach for distributed energy resource (DER) expansion planning from investors' viewpoint based on a combination of dynamic programming algorithm and game theory. An innovative framework is proposed in this paper to consider different aspects of distributed energy...