This paper estimates a model of residential electricity demand to project the impact of proposed tariff changes on a representative sample of 130 Barbadian households. The results from the demand function suggest that the price elasticities of demand for particular appliances varied significantly, with households that utilize solar water heating being more price elastic than households that use...

The electricity grid has to respond to large power variations in relatively short periods of time. This behavior causes an inefficiency operation and design of the electricity system. The Demand Side-Management techniques are used to modify the power demand, reducing or smoothing its shape. Moreover, the electricity grid is a very huge system composed for millions of devices. There are problems...

We consider interruptible electricity contracts issued by an electricity retailer that allow for interruptions to electric service in exchange for either an overall reduction in the price of electricity delivered or for financial compensation at the time of interruption. We provide an equilibrium model to determine electricity prices based on stochastic models of supply and demand. In the conte...

Flexibility in power demand, diverse usage patterns and storage capability of plug-in electric vehicles (PEVs) grow the elasticity of residential electricity demand remarkably. This elasticity can be utilized to form the daily aggregated demand profile and/or alter instantaneous demand of a system wherein a large number of residential PEVs share one electricity retailer or an aggregator. In thi...

The power industry is the main battlefield of CO2 emission reduction, which plays an important role in the implementation and development of the low carbon economy. The forecasting of electricity demand can provide a scientific basis for the country to formulate a power industry development strategy and further promote the sustained, healthy and rapid development of the national economy. Under ...

Precisely and accurately predict the electricity demand is an important task for the government in each country. In addition, establishing the lowest upper bound for the electricity demand also avoids unnecessary power plant investment. To this end, a hybrid fuzzy linear regression (FLR) and back propagation network (BPN) approach is proposed in this study. In the proposed methodology, multiple...

This paper presents a preliminary study on occupant behavior modeling for estimating high-resolution electricity demand profile of residential buildings. First, the existing occupant behavior models are considered. We then introduce an occupant behavior model developed on the basis of the approach employed in an existing model and an energy demand model that uses the output of the occupant beha...

Pricing options on electrical power is important because of the worldwide trend toward deregulated electricity markets. It is fascinating because of the exotic nature of most power derivatives and because of the many unique features of electricity markets. One of these unique features is that electrical power cannot, in appreciable quantities, be stored. While this plays havoc with arbitrage-fr...

With the aim of reducing cost of electricity consumption and peak load reduction, tools requirement for better managing electricity consumption have become inevitable in recent years. Smart home has some equipment which are controllable and this ability is used for increasing comfort and minimizing electricity cost for residence. As a key component of smart home , Electric Vehicle(EV) ,increase...