Renewable Energy Sources (RES) Utilization and Adaptation Technologies using Artificial Intelligence Expert Systems to Support and Secure RES Projects, Investments and Initiatives (original) (raw)

Selecting a renewable energy oriented technology in order to support an investment plan or a geo-political energy analysis or policy, is a quite complex and multi-parametrical process. The technical and operational differentiation among the energy technologies, techniques and approaches is based on the geographical, social, technical, financial, environmental, economical and regional constraints. Successful energy investment decisions and initiatives are based on multi-criteria and multi-dimensional decisions through extensive analysis of rules and facts per case. Such objectives can be managed via artificial intelligence expert system technologies. Intelligent systems can take as input any parameters that can contribute towards the best possible technology selection under given constraints or requirements. Such systems can be applied for every energy investment, initiative, and project, involving experts, government, civilians and any type of land owner of ruler. This paper identifies a major problem in the RES utilization and adaptation area and presents an in depth analysis of RES investments support technologies that can contribute. The paper describes the integration of the disciplines of Energy and Information Technology through applications that will promote and disseminate the viability and success of RES investments and utilization especially in the Mediterranean region where RES are available in abundance than in any other European region.