Institutional Repository
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Providing a scientific arm to renewable energy cooperatives

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

Full record


URI: http://purl.tuc.gr/dl/dias/C48AC57E-215D-43CB-A2FF-D7104F60B34E
Year 2018
Type of Item Book Chapter
License
Details
Bibliographic Citation N/A for this language
Appears in Collections

Summary

Renewable 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.

Services

Statistics