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Providing a scientific arm to renewable energy cooperatives

Chalkiadakis Georgios, Akasiadis Charilaos, Savvakis Nikolaos, Tsoutsos Theocharis, Hoppe Thomas, Coenen Frans H.J.M.

Απλή Εγγραφή


URIhttp://purl.tuc.gr/dl/dias/C48AC57E-215D-43CB-A2FF-D7104F60B34E-
Αναγνωριστικόhttps://doi.org/10.1007/978-3-319-89845-2_51-
Αναγνωριστικόhttps://link.springer.com/chapter/10.1007/978-3-319-89845-2_51-
Γλώσσαen-
Μέγεθος15 pagesen
ΤίτλοςProviding a scientific arm to renewable energy cooperativesen
ΔημιουργόςChalkiadakis Georgiosen
ΔημιουργόςΧαλκιαδακης Γεωργιοςel
ΔημιουργόςAkasiadis Charilaosen
ΔημιουργόςΑκασιαδης Χαριλαοςel
ΔημιουργόςSavvakis Nikolaosen
ΔημιουργόςΣαββακης Νικολαοςel
ΔημιουργόςTsoutsos Theocharisen
ΔημιουργόςΤσουτσος Θεοχαρηςel
ΔημιουργόςHoppe Thomasen
ΔημιουργόςCoenen Frans H.J.M.en
ΕκδότηςSpringer Verlagen
ΠερίληψηRenewable Energy-Supplying cooperatives (REScoops) are cooperatives of renewable energy producers and/or consumers, which are under formulation in the emerging European smart grid. Their emergence highlights the importance of proconsuming green energy and simultaneously puts forward principles such as energy democracy and self-consumption, assists the fight against energy poverty, and helps reduce GHG emissions. To this end, the incorporation of scientific and technological solutions into the REScoops’ everyday business and practices, is key for improving these practices and assessing their potential benefits, and as such for enabling them to deliver the maximum possible gains to their members and society at large. This chapter outlines three key axes of scientific research and solutions that can be used for REScoops, namely, (a) a statistical analysis, (b) an applied behavioural analysis, and (c) an artificial intelligence/machine learning one. Also presented are results and lessons learned from providing such solutions to European REScoops as part of the H2020 REScoop Plus project.en
ΤύποςΚεφάλαιο σε Βιβλίοel
ΤύποςBook Chapteren
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2019-10-22-
Ημερομηνία Δημοσίευσης2018-
Θεματική ΚατηγορίαBehavioural analysisen
Θεματική ΚατηγορίαDemand-side managementen
Θεματική ΚατηγορίαRenewable energy sources cooperative (REScoop)en
Θεματική ΚατηγορίαSmart griden
Θεματική ΚατηγορίαStatistical analysisen
Βιβλιογραφική ΑναφοράG. Chalkiadakis, C. Akasiadis, N. Savvakis, T. Tsoutsos, T. Hoppe and F. Coenen "Providing a scientific arm to renewable energy cooperatives," in The Role of Exergy in Energy and the Environment, vol. 262, Green Energy and Technology, Cham: Springer-Verlag, 2018, pp. 717-731. doi: 10.1007/978-3-319-89845-2_51el
Τίτλος ΒιβλίουThe Role of Exergy in Energy and the Environmenten
Σειρά ΒιβλίουGreen Energy and Technologyen

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