Data-driven applications to identify sustainable investments pathways in energy management and efficiency

Energy Efficiency projects are often fragmented, of high transaction costs, and fall below the minimum value that many private financial institutions are willing to consider. The availability of comparable, anonymised historical data pooled from major market segments, structured along major project characteristics, can encourage greater investment flow in energy management and efficiency. The aim of this paper is to identify investment financing patterns in a pool of provided projects in Latvia and discover possible Grand Financing Plans (GFP) for future use. These GFPs could improve the procedure of decision making in energy sector in terms of the percentage of grand financing per project. The improvement of the process of grand financing can attract and mobilise private funding on such projects, providing investors/financiers (e.g., commercial/green investment banks, institutional/insurance funds, etc.) and project developers (public/local authorities, energy providers, ESCOs, construction companies, etc.) with data and tools to identify sustainable investment pathways and decrease the investment risk