Abstract: In a remote areas supply of energy from national grid is insufficient for a sustainable development. Integration and optimization of local alternative renewable energy sources is an optional solution of the problem. The needs of rural electricity is met by conventional approaches is limited. In economic perspective, non-conventional forms of rural electrification may least-cost, particularly where villages are some distance from each others. In this paper the renewable energy reduces the burden on electricity supply shortfalls and the urgency of costly grid extension. In this paper we will bring in some new concepts associates with renewable energy forecasting. Energy plays a significant role in the economic and technological advancement of modern society and plays crucial role in human life standard. In hilly regions energy situation in terms of availability and demand is very different from that in the urban areas. Large parts of hilly and remotely located regions remain un-electrified. The studies are carried out for load management during a typical rainy, winter and a summer seasons. The results with using matlab for the rainy, winter and summer seasons scenarios are present in this paper. This paper presents a how manage the load forecasting of rural areas.