A doubly censored Tobit model is used to forecast hourly air-conditioner usage for individual households. The model worked well over a wide range of temperatures, 9–38°C, making it possible to accurately forecast the electricity load for a variety of demand response applications including...

Assessing the impacts of dynamic-pricing under the smart grid concept is becoming extremely important for deciding its full deployment. In this paper, we develop a model that represents the response of consumers to dynamic pricing. In the model, consumers use forecasted day-ahead prices to shift...

In the current situation of the energy crisis, the mining industry has been identified as a promising area for application of demand side management (DSM) techniques. This paper investigates the potential for energy-cost savings and actual energy savings, by implementation of variable speed...

Phase change materials (PCMs) have the ability to absorb and release a large amount of thermal energy over the phase transition. This might be an innovative solution to shift the power demand to off peak period and reduce the stress on the electrical grid. Limited research work has been carried...

The main objective of this paper is to contribute to the discussion on the role of Net Zero Energy Buildings (Net ZEBs) on future energy systems by the interplay between on-site generation and the building loads, often called load matching, and the resulting import/export interaction with the...

Demand response has proven to be a useful mechanism that produces important benefits for both the customer and the power system. In the context of an increasingly competitive electricity market, where prices are constantly rising and the presence of renewable energy resources is gaining...

Incentives for industrial loads to provide demand response on day-ahead and reserve markets are affected both by network tariffs, as well as regulations on the provision of flexibility in different markets. This paper uses a numerical model of the chlor-alkali process with a storable...

The potential to reschedule part of the electricity demand in energy systems is seen as a significant opportunity to improve the efficiency of the systems, especially on remote and isolated systems. From the supply point of view, that flexibility might bring significant improvements to the...

Demand Response (DR) is one of the typical methods for optimizing load characteristics in power systems. Utilities offer DR schemes to generate incentives toward consumers’ power consumption behavior for load optimization. In tariff planning, power consumption variation is an important issue...

Today’s major developments in the production and demand of electricity in domestic areas make it increasingly important that domestic electricity demand can respond to the availability of electricity. Energy management systems and smart appliances can facilitate this by supporting the user to...