This paper presents an empirical analysis on the residential demand for electricity by time-of-day. This analysis has been performed using aggregate data at the city level for 22 Swiss cities for the period 2000 to 2006. For this purpose, we estimated two log-log demand equations for peak and off-peak electricity consumption using a static and a dynamic partial adjustment approach. These demand functions were estimated using several econometric approaches for panel data, for example LSDV, RE for static models and corrected LSDV, and GMM estimators for dynamic models. The attempt of this empirical analysis has been to highlight some of the characteristics of the Swiss residential electricity demand. The estimated short-run own price elastici...
In this paper we use panel data from a survey conducted on 30 Swiss utilities to estimate the impact...
The demand for electricity in the residential sector is estimated to have become less elastic for th...
In this paper we use panel data from a survey conducted on 30 utilities in Switzerland to estimate t...
This study examines the residential demand for electricity by time-of-use in Switzerland. For this p...
We estimate the short- and long-run elasticities of electricity demand in Switzerland using a dynami...
In this paper, we estimate the price elasticity of residential electricity consumption in Switzerlan...
In this paper, we estimate the price elasticity of residential electricity consumption in Switzerlan...
In this paper we estimate the long- and short-run price elasticities of residential electricity cons...
Peaks in electricity demand bring about significantly negative environmental and economic impacts. T...
Information on customer response to time-of-use (TOU) rates plays a major part in utility resource p...
Electricity supply is compromised and prices are soaring; the world is currently facing an energy cr...
Thesis (M.Sc.Eng.)-University of KwaZulu-Natal, Durban, 2009.Constrained electrical power systems an...
One of the most common Demand Side Management programs consists of Time-of-Use (TOU) tariffs, where ...
The peak congestion of the European grid may create significant impacts on system costs because of t...
Understanding what constitutes peaks and identifying areas of effective load shifting intervention b...
In this paper we use panel data from a survey conducted on 30 Swiss utilities to estimate the impact...
The demand for electricity in the residential sector is estimated to have become less elastic for th...
In this paper we use panel data from a survey conducted on 30 utilities in Switzerland to estimate t...
This study examines the residential demand for electricity by time-of-use in Switzerland. For this p...
We estimate the short- and long-run elasticities of electricity demand in Switzerland using a dynami...
In this paper, we estimate the price elasticity of residential electricity consumption in Switzerlan...
In this paper, we estimate the price elasticity of residential electricity consumption in Switzerlan...
In this paper we estimate the long- and short-run price elasticities of residential electricity cons...
Peaks in electricity demand bring about significantly negative environmental and economic impacts. T...
Information on customer response to time-of-use (TOU) rates plays a major part in utility resource p...
Electricity supply is compromised and prices are soaring; the world is currently facing an energy cr...
Thesis (M.Sc.Eng.)-University of KwaZulu-Natal, Durban, 2009.Constrained electrical power systems an...
One of the most common Demand Side Management programs consists of Time-of-Use (TOU) tariffs, where ...
The peak congestion of the European grid may create significant impacts on system costs because of t...
Understanding what constitutes peaks and identifying areas of effective load shifting intervention b...
In this paper we use panel data from a survey conducted on 30 Swiss utilities to estimate the impact...
The demand for electricity in the residential sector is estimated to have become less elastic for th...
In this paper we use panel data from a survey conducted on 30 utilities in Switzerland to estimate t...