چکیده مقاله
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
کلیدواژهها
نویسندگان
Vahid asgari
Mazandaran Electricity Distribution Company,Sari,Iran
Ali rahmani larmai
Mazandaran Electricity Distribution Company,Sari,Iran
شیوه ارجاع
asgari, Vahid and rahmani larmai, Ali,1395,Simultaneous Electricity Price and Demand Forecasting in Smart Grids,4th National Congress of Electrical and Computer Engineering of Iran,Tehran
ارائهشده در
مجموعه مقالات چهارمین کنفرانس بین المللی مهندسی برق و کامپیوتر23 دی 1395 · تهران