摘要
Diffusion of Renewable Energy Technologies (RETs) governs by the status of technology in terms of efficiency and techno-economical feasibility. The states plan for the deployment of resources for the development with special reference to sustainable environment. The demand and supply energy model help to provide more focus on the long term goals. The theory of diffusion modeling allows analysis of diffusion processes and study of growth rates of different technologies and underlying diffusion factors of the particular states, particularly for Indian 8 National Missions implication factors concerning to National Action Plan for Climate Change (NAPCC).The Energy Management Systems (EMS) and Distribution Management Systems (DMS) provide control on hybrid sources of energy generation and distribution over on-grid and off-grid applications. Energy Distributive system model for adequate accurate predictive analysis plays important role for sustainable country energy resources, in consideration of all influential factors in energy generation and distribution. For prediction aspects the important parameters are geographical location, seasonal influence, effect of climate change and state or area concession. With the abundant data and relative economic indicator, energy prediction is performed with close loop predictive system based of timing algorithm. The energy economics in free trade market like India, where the peak load varies abruptly due to season and community demand, its hourly prediction model is more useful.The energy model provides the estimation and prediction of hybrid power generation in consideration of the parameters on resource potential, technology, efficiency and consumption pattern. The monitor, statistical and prediction model with inbuilt mechanism for renewable energy certificate (REC) and perform, achieve and trade (PAT) incentives are explored in this paper.The paper presents energy models to enhance knowledge and skills in the efficient transfer and management of technology for optimally allocating different types of renewable resources, technology and economic feasibility.