Accurate prediction of the future electricity consumption is crucial for production electricity management. Since the storage of electrical energy is very difficult, reliable and accurate prediction of power consumption is important. Different approaches for this purpose were used. In this paper, Grey model (1,1) based on grey system theory has been used for forecasting results. Annual electric...

this paper proposes a stochastic framework for demand response (dr) aggregator to procure dr from customers and sell it to purchasers in the wholesale electricity market. the aggregator assigns fixed dr contracts with customers based on three different load reduction strategies. in the presented problem the uncertainty of market price is considered and the risk of aggregator participation is ma...

Internet technology is too much popular now a day and due to the availability of high performance computer and network technology at low cost change the view of using computer and internet. Grid computing is conceptually not like electric grids. In electric grid we can just link to the outlets of an infrastructure and we don’t need to know from where and how we are getting electricity. Grid com...

Multistage stochastic programming is a key technology for making decisions over time in an uncertain environment. One of the promising areas in which this technology is implementable, is medium term planning of electricity production and trading where decision makers are typically faced with uncertain parameters (such as future demands and market prices) that can be described by stochastic proc...

Accurate and effective electricity price forecasting is critical to market participants in order to make an appropriate risk management in competitive electricity markets. Market participants rely on price forecasts to decide on their bidding strategies, allocate assets and plan facility investments. However, due to its time variant behavior and non-linear and non-stationary nature, electricity...

Higher shares of renewable energy increase the need for electricity storage. A promising storage technology is Pumped-Thermal Electricity Storage (PTES): PTES systems transform into heat using a pump (HP) and reconvert engine. Since both HPs engines require working fluids, maximum performance requires optimal combination process fluids. Herein this work, thermo-economic potential an Organic Ran...