SVM Methods for Optimal Management of a Virtual Power Plant

التفاصيل البيبلوغرافية
العنوان: SVM Methods for Optimal Management of a Virtual Power Plant
المؤلفون: CRISOSTOMI, EMANUELE, TUCCI, MAURO, RAUGI, MARCO
المساهمون: Bruno Apolloni, Simone Bassis, Anna Esposito, Francesco Carlo Morabito, Crisostomi, Emanuele, Tucci, Mauro, Raugi, Marco
بيانات النشر: Springer
DEU
Dordrecht
سنة النشر: 2013
المجموعة: ARPI - Archivio della Ricerca dell'Università di Pisa
مصطلحات موضوعية: optimal scheduling, Support Vector Machine method, Virtual Power Plants
الوصف: The current electrical grid is undergoing a deep renovation that poses new problems in terms of technologies, communication and control. The increasing level of penetration of renewable energy is leading towards the concept of distributed energy production, and it is expected that Virtual Power Plants (VPPs) will play an important role in the future smart grid. The stochastic nature of the power flows in the VPP, caused by the fluctuating availability of renewables, by the users’ demand and by the energy market price, complicates the task of power balancing for the VPP. This paper proposes the use of simple learning mechanisms to support power scheduling decisions and to improve a correct supply of the connected loads.
نوع الوثيقة: book part
وصف الملف: STAMPA
اللغة: English
Relation: info:eu-repo/semantics/altIdentifier/isbn/978-3-642-35466-3; info:eu-repo/semantics/altIdentifier/isbn/9783642354670; ispartofbook:Neural Nets and Surroundings : 22nd Italian Workshop on Neural Nets, WIRN 2012, May 17-19, Vietri sul Mare, Salerno, Italy; volume:19; firstpage:271; lastpage:278; numberofpages:8; serie:SMART INNOVATION, SYSTEMS AND TECHNOLOGIES; alleditors:Bruno Apolloni, Simone Bassis, Anna Esposito, Francesco Carlo Morabito; http://hdl.handle.net/11568/208330; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84879291634; http://link.springer.com/book/10.1007/978-3-642-35467-0
DOI: 10.1007/978-3-642-35467-0_27
DOI: 10.1007/978-3-642-35467-0
الاتاحة: http://hdl.handle.net/11568/208330
https://doi.org/10.1007/978-3-642-35467-0_27
http://link.springer.com/book/10.1007/978-3-642-35467-0
رقم الانضمام: edsbas.8611926B
قاعدة البيانات: BASE
الوصف
DOI:10.1007/978-3-642-35467-0_27