Simultaneous price and demand forecasting in smart power distribution grid

作者： Mohammad Firozyan , Mehdi Radmehr , Vahid Asgari

DOI:

关键词:

摘要: Today's competitive world and economy is heavily dependent on electrical energy. Since electricity cannot be stored producing more or less than the required needs may lead to some losses. The electric charge forecasting pricing are considered as main factors in planning decision-making for future development plans operation of power systems. In smart grids, consumers will able react changes prices. total response price could potentially shift demand curve market. As a result, prices vary from original projections. this paper, framework proposed that offers such dynamics predicting demand. framework, mechanism based principles data mining determine patterns consumer used. model, weather conditions (temperature humidity), days special holidays considered. And results expected done hourly, daily. Simulation method prices, which were obtained using Australian market, indicates error compared previous methods.

暂无可下载资源，当前可以选择系统获取到有开放资源时通知我或者直接发起求助文献求助

参考文章(8)

Phatchakorn Areekul, Tomonobu Senjyu, Hirofumi Toyama, Atsushi Yona, Notice of Violation of IEEE Publication Principles A Hybrid ARIMA and Neural Network Model for Short-Term Price Forecasting in Deregulated Market IEEE Transactions on Power Systems. ,vol. 25, pp. 524- 530 ,(2010) , 10.1109/TPWRS.2009.2036488

Cheng-Ming Lee, Chia-Nan Ko, Short-term load forecasting using lifting scheme and ARIMA models Expert Systems With Applications. ,vol. 38, pp. 5902- 5911 ,(2011) , 10.1016/J.ESWA.2010.11.033

Nima Amjady, Ali Daraeepour, Mixed price and load forecasting of electricity markets by a new iterative prediction method Electric Power Systems Research. ,vol. 79, pp. 1329- 1336 ,(2009) , 10.1016/J.EPSR.2009.04.006

Nima Amjady, Short-Term Bus Load Forecasting of Power Systems by a New Hybrid Method IEEE Transactions on Power Systems. ,vol. 22, pp. 333- 341 ,(2007) , 10.1109/TPWRS.2006.889130

Neil Johnson, Jian Kang, Elizabeth Abigail Hathway, Acoustics of weirs: Potential implications for micro-hydropower noise Renewable Energy. ,vol. 71, pp. 351- 360 ,(2014) , 10.1016/J.RENENE.2014.05.049

Jun Hua Zhao, Zhao Yang Dong, Xue Li, Kit Po Wong, A Framework for Electricity Price Spike Analysis With Advanced Data Mining Methods IEEE Transactions on Power Systems. ,vol. 22, pp. 376- 385 ,(2007) , 10.1109/TPWRS.2006.889139

M.R. Braun, H. Altan, S.B.M. Beck, Using regression analysis to predict the future energy consumption of a supermarket in the UK Applied Energy. ,vol. 130, pp. 305- 313 ,(2014) , 10.1016/J.APENERGY.2014.05.062

Lei Wu, Mohammad Shahidehpour, A Hybrid Model for Day-Ahead Price Forecasting IEEE Transactions on Power Systems. ,vol. 25, pp. 1519- 1530 ,(2010) , 10.1109/TPWRS.2009.2039948

Simultaneous price and demand forecasting in smart power distribution grid

来源期刊

我的账户

Simultaneous price and demand forecasting in smart power distribution grid

来源期刊

相似文章 2

Data and Decision Intelligence for Internet of Things: Putting Human in the Loop

Data and Decision Intelligence for Human-in-the-Loop Cyber-Physical Systems: Reference Model, Recent Progresses and Challenges

我的账户