Energy conservation is a global issue with great implications. High energy demands and environmental concerns force the transformation of electricity grids into smart grids, towards more rational utilization of energy. Embedded computing and smart metering transform houses into energy-aware environments, allowing residents to make informed choices about electricity. Web technologies are success...

Demand Response (DR), also known as electric load-shifting program, is a different way of shaping energy demand with the goal to reduce electricity costs for an organization. Extensive prior research studies have demonstrated the effectiveness of the action of DR through the use of operations research methodology e.g. efficient production scheduling. In the real world, schedulers typically issu...

Background: Rapidly increasing residential electricity demand has made raising energy efficiency an important policy issue in controlling electricity demand. Methods: This study uses a stochastic frontier model to estimate the residential electricity demand function and analyse electricity energy efficiency levels and their determinants using regional data on Japan. Results: The results confirm...

Recent efforts to restructure electricity markets have renewed interest in assessing how consumers respond to price changes. This paper develops a model for evaluating the effects of alternative tariff designs on residential electricity use. The model concurrently addresses several inter-related difficulties posed by nonlinear pricing, heterogeneity in consumer price sensitivity, and consumptio...

a r t i c l e i n f o JEL classification: C1 Q4 Keywords: Electricity demand elasticity Disaggregated data Cointegration Granger causality Structural break German industry We estimate electricity demand elasticities for eight subsectors of the German manufacturing industry using annual data from EU-KLEMS and the International Energy Agency for 1970–2007. The subsectoral approach allows to retai...

We propose a new approach to forecasting the demand for a commodity in which the commodity supplier asks each consumer to forecast its own demand for the commodity and in return gives a monetary reward that is proportional to the accuracy of the forecast. Such an approach might be applicable when consumer demand for a perishable commodity is uncertain and forecast error leads to waste for produ...

Increasing concerns over climate change have limited the liberal usage of available energy technology options. India faces a formidable challenge to meet its energy needs and provide adequate energy of desired quality in various forms to users in sustainable manner at reasonable costs. In this paper, work carried out with an objective to study the role of various energy technology options under...

 Proposing a novel interval-valued electricity demand forecasting approach.  BEMD and SVR are integrated for interval forecasting of electricity demand.  The EMD-based modeling framework are extended to deal with interval forecasting  BEMD is used to decompose both the lower and upper bounds electricity demand series.  The proposed modeling framework is justified with real world data sets....