Model of energy alternative in spatial load forecasting

Spatial load forecasting is a significant basis for power system planning and construction. With the development of renewable energy generation and the continuing deterioration of the environment, energy alternatives is becoming a new growth point of load. The methods present cannot take energy alternative into consideration appropriately. To solve it, this paper analyzes the temporal and spatial evolution pattern of energy alternative and proposes a model based on cellular automata. The case study proves this model effective.