The application of the data mining in the integration of RES in the smart grid: Consumption and generation forecast in the I3RES project

Itziar Landa-Torres; Iraide Unanue; Inaki Angulo; Maria Rosaria Russo; Camillo Campolongo; Alession Maffei; Seshadhri Srinivasan; Luigi Glielmo; Luigi Iannelli

doi:10.1109/PowerEng.2015.7266327

The application of the data mining in the integration of RES in the smart grid: Consumption and generation forecast in the I3RES project

Itziar Landa-Torres
, Iraide Unanue
, Inaki Angulo
, Maria Rosaria Russo
, Camillo Campolongo
, Alession Maffei
, Seshadhri Srinivasan
, Luigi Glielmo
, Luigi Iannelli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings
Publisher	IEEE Computer Society
Pages	244-249
Number of pages	6
ISBN (Electronic)	9781479999781
DOIs	https://doi.org/10.1109/PowerEng.2015.7266327
Publication status	Published - 14 Sept 2015
Externally published	Yes
Event	5th IEEE International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Riga, Latvia Duration: 11 May 2015 → 13 May 2015

Publication series

Name	International Conference on Power Engineering, Energy and Electrical Drives
Volume	2015-September
ISSN (Print)	2155-5516
ISSN (Electronic)	2155-5532

Conference

Conference	5th IEEE International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015
Country/Territory	Latvia
City	Riga
Period	11/05/15 → 13/05/15

Keywords

data mining
DSM
RES
smart grid

Access to Document

10.1109/PowerEng.2015.7266327

Cite this

Landa-Torres, I., Unanue, I., Angulo, I., Russo, M. R., Campolongo, C., Maffei, A., Srinivasan, S., Glielmo, L., & Iannelli, L. (2015). The application of the data mining in the integration of RES in the smart grid: Consumption and generation forecast in the I3RES project. In 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings (pp. 244-249). Article 7266327 (International Conference on Power Engineering, Energy and Electrical Drives; Vol. 2015-September). IEEE Computer Society. https://doi.org/10.1109/PowerEng.2015.7266327

Landa-Torres, Itziar ; Unanue, Iraide ; Angulo, Inaki et al. / The application of the data mining in the integration of RES in the smart grid : Consumption and generation forecast in the I3RES project. 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings. IEEE Computer Society, 2015. pp. 244-249 (International Conference on Power Engineering, Energy and Electrical Drives).

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title = "The application of the data mining in the integration of RES in the smart grid: Consumption and generation forecast in the I3RES project",

abstract = "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.",

keywords = "data mining, DSM, RES, smart grid",

author = "Itziar Landa-Torres and Iraide Unanue and Inaki Angulo and Russo, \{Maria Rosaria\} and Camillo Campolongo and Alession Maffei and Seshadhri Srinivasan and Luigi Glielmo and Luigi Iannelli",

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doi = "10.1109/PowerEng.2015.7266327",

language = "English",

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Landa-Torres, I, Unanue, I, Angulo, I, Russo, MR, Campolongo, C, Maffei, A, Srinivasan, S, Glielmo, L & Iannelli, L 2015, The application of the data mining in the integration of RES in the smart grid: Consumption and generation forecast in the I3RES project. in 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings., 7266327, International Conference on Power Engineering, Energy and Electrical Drives, vol. 2015-September, IEEE Computer Society, pp. 244-249, 5th IEEE International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015, Riga, Latvia, 11/05/15. https://doi.org/10.1109/PowerEng.2015.7266327

The application of the data mining in the integration of RES in the smart grid: Consumption and generation forecast in the I3RES project. / Landa-Torres, Itziar; Unanue, Iraide; Angulo, Inaki et al.
2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings. IEEE Computer Society, 2015. p. 244-249 7266327 (International Conference on Power Engineering, Energy and Electrical Drives; Vol. 2015-September).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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

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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.

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ER -

Landa-Torres I, Unanue I, Angulo I, Russo MR, Campolongo C, Maffei A et al. The application of the data mining in the integration of RES in the smart grid: Consumption and generation forecast in the I3RES project. In 2015 IEEE 5th International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2015 - Proceedings. IEEE Computer Society. 2015. p. 244-249. 7266327. (International Conference on Power Engineering, Energy and Electrical Drives). doi: 10.1109/PowerEng.2015.7266327

The application of the data mining in the integration of RES in the smart grid: Consumption and generation forecast in the I3RES project

Abstract

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Keywords

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