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Collective intelligence for community energy initiatives.

In this paper we present an approach aimed at overcoming barriers to the success of community energy initiatives in urban areas. The proposed methods will support communities in identifying and adopting community energy solutions by connecting citizens with a collection of relevant datasets including satellite, energy and socio-economic data. Citizens will be provided with the ability to explore the data and with advanced urban data analytics methods to identify key aspects and potential areas where initiatives could be successful. Communities will be supported with advice and expertise and in identifying dedicated and enthusiastic participants. To meet all these requirements is a difficult task, but the benefits include: reduction of carbon emissions, generation of savings for communities, reduction of fuel poverty and creation of local jobs. 
The concept of urban area is a key one in this approach, because energy efficient cities will only be possible through a broad-based consensus between science, politics, industry and citizens. Traditionally citizens have played a passive role in the energy market, but now they have the opportunity of being involved in generation, reduction of consumption and management and purchasing of energy, becoming new actors in the market and using collective intelligence for the common good.