Residential demand for electricity is estimated for China using a unique household level dataset. Household electricity demand is specified as a function of local electricity price, household income, and a number of social-economic variables at household level. We find that the residential demand for electricity responds rather sensitively to its own price in China, which implies that there is ...

Main challenges within the energy system of tomorrow are more volatile, less controllable and at the same time more decentralized electricity generation. Furthermore, the increasing research and development activities on electric vehicles (EV) make a significant share of electric vehicles within the passenger car fleet in 2030 more and more likely. This will lead to a further increase of power ...

This paper aimed at estimation of the per capita consumption of electricity in residential sector based on economic indicators in Iran. The Genetic Algorithm Electricity Demand Model (GAEDM) was developed based on the past data using the genetic algorithm approach (GAA). The economic indicators used during the model development include: gross domestic product (GDP) in terms of per capita and re...

Balancing electricity supply and critical for the stable performance of Grid. Demand Side Management (DSM) r consumers’ energy usage to off-peaks as muc avoid more electricity demand than available su times. Artificial intelligent planning algorit applied to enabling electric devices to reschedu to off-peaks. One such algorithm is Monte C (MCTS), which takes advantage of tree sear sampling on d...

Electricity markets are systems for affecting the purchase and sale of electricity using supply and demand to set energy prices. Electricity can be traded in organized markets or by negotiating forward bilateral contracts. Demand response (DR) refers to participation by customers in electricity markets, seeing and responding to prices as they change over time. Customers may adopt several basic ...

Consumption of energy is influenced by a multitude of factors. Beyond factors determining the demand for a specific energy service, characteristics of and attitudes to the energy product delivering the service can also strongly affect this demand. Attributes of electricity which may influence the demand for electricity services include its cost, its environmental impacts, and the social/politic...

Plug-in electric vehicles (PEVs) are becoming a key feature of smart grids. PEVs will be embedded in the network as a mobile load-storage with probabilistic behavior. In order to manage PEVs as flexible loads, charging stations (CSs) have essential roles. In this paper, a new method for optimal sitting and sizing of solar CSs using energy storage (ES) options is presented. Also, behavior of PEV...

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...