Present study investigates the effect of soaring residential electricity price on the welfare of rural individuals in Guilan Province by Almost Ideal Demand System (AIDS) in which the elasticity’s and welfare variations were calculated by Compensation Variations (CV) and Equivalent Variations (EV) for the time period of 1991-2012. It was shown that the absolute value of income and price elastic...

This study analyses the integration of electric vehicles (EV) into the German power grid including different demand side management (DSM) approaches from a technical, economical and user perspective. For this an overview of the future German electricity market with the focus on EV integration is given. It is shown that for conservative EV penetration rates the effect on the electricity generati...

In this paper we demonstrate the efficacy of a stochastic modelling approach involving both diffusion and a jump processes to describe the evolution of spot electricity prices in New South Wales. The model allows a deterministic time trend component and an unobserved process driven by both time varying volatility and occasional jumps. The structure allows us to cast the problem in a state space...

This paper introduces grid-connected PV system to provide electricity for loads fractions of the governmental building in "Qena Al-Gadida" through two plans with different prices of electricity according to consumption rates. The first plan assuming the price of electricity purchased from the grid is equal to the price paid by the utility for electricity sold to the grid (sellback price). The s...

A number of heating, ventilation and air-conditioning (HVAC) system vendors and operators have started to implement demand management systems in commercial buildings, yet we contend that the impact of such systems on building performance and occupant comfort is poorly understood. This paper examines such issues, showing the results from demand response experiments in two large office buildings....

In this article, we investigate conditional mean and conditional variance forecasts using a dynamic model following a k-factor GIGARCH process. Particularly, we provide the analytical expression of the conditional variance of the prediction error. We apply this method to the German electricity price market for the period August 15, 2000 December 31, 2002 and we test spot prices forecasts until ...

In recent years, aiming to reduce the Greenhouse Gas pollution and promote energy efficiency and conservation among consumers’ energy use, price policies and price changes derived from environmental regulations have played a more important role. In this paper, using the most recent annual state-level panel data for 48 states, I estimate a dynamic partial adjustment model for electricity demand ...