TY - GEN
T1 - The application of the data mining in the integration of RES in the smart grid
T2 - 5th IEEE International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015
AU - Landa-Torres, Itziar
AU - Unanue, Iraide
AU - Angulo, Inaki
AU - Russo, Maria Rosaria
AU - Campolongo, Camillo
AU - Maffei, Alession
AU - Srinivasan, Seshadhri
AU - Glielmo, Luigi
AU - Iannelli, Luigi
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/9/14
Y1 - 2015/9/14
N2 - Accurate models for predicting generation, demand, prices, and storage under uncertainties are essential for managing safe, sustainable and reliable electric grids. In this investigation, the use of data-mining methods for building models of electrical consumption and renewable generation aimed at integrating renewable generation for smart grid control is studied. The results presented are part of the I3RES project that aims at building future energy solutions for smart electric grids considering the typical uncertainties of the renewable generation. Our results indicate that the data-mining techniques are able to provide forecasts with reasonable accuracy in the presence of uncertainties. Furthermore, such forecasts are useful in building controllers that can perform control actions such as demand side management in smart grids.
AB - Accurate models for predicting generation, demand, prices, and storage under uncertainties are essential for managing safe, sustainable and reliable electric grids. In this investigation, the use of data-mining methods for building models of electrical consumption and renewable generation aimed at integrating renewable generation for smart grid control is studied. The results presented are part of the I3RES project that aims at building future energy solutions for smart electric grids considering the typical uncertainties of the renewable generation. Our results indicate that the data-mining techniques are able to provide forecasts with reasonable accuracy in the presence of uncertainties. Furthermore, such forecasts are useful in building controllers that can perform control actions such as demand side management in smart grids.
KW - data mining
KW - DSM
KW - RES
KW - smart grid
UR - https://www.scopus.com/pages/publications/84947279609
U2 - 10.1109/PowerEng.2015.7266327
DO - 10.1109/PowerEng.2015.7266327
M3 - Conference contribution
AN - SCOPUS:84947279609
T3 - International Conference on Power Engineering, Energy and Electrical Drives
SP - 244
EP - 249
BT - 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings
PB - IEEE Computer Society
Y2 - 11 May 2015 through 13 May 2015
ER -