Simultaneous Electricity Price and Demand Forecasting in Smart Grids
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
COMCONF04_117
تاریخ نمایه سازی: 10 تیر 1396
Abstract:
Today s competitive world and economy is heavily dependent on electrical energy. Since electricity cannot be stored and producing more or less than the required needs may lead to some losses. The electric charge forecasting andpricing are considered as the main factors in planning and decision-making for future development plans and operationof power systems. In the future smart grids, electricity consumers will be able to react to changes in electricity prices.The total response of consumers to price could potentially shift the demand curve in the market. As a result, prices mayvary from original projections. In this paper, a forecasting framework is proposed that offers such dynamics in predicting the electricity price demand. In this framework, a mechanism based on principles of data mining data miningto determine the patterns in response to changes in consumer demand and prices are used. In this model, the weatherconditions (temperature and humidity), the days and special holidays are considered. And the results are expected to be done hourly, daily. Simulation results of the proposed method for forecasting demand and prices, which were obtained using the Australian electricity market, indicates that error is less compared to the previous methods.
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Authors
Vahid asgari
Mazandaran Electricity Distribution Company,Sari,Iran
Ali rahmani larmai
Mazandaran Electricity Distribution Company,Sari,Iran
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