Comparative analysis of air conditioning load prediction methods;

Grey System Theory Method of City Gas Long-term Load Prediction;

Application of wavelet neural networks in short-period power load prediction;

Comprehensive models for mid-long term load forecast based on three-target quantities;

To raise accuracy rate of daily load forecast by scientific management measures;

Weather line regression and combination load forecast of mountainous area contain small hydro-power unit;

Research on combination forecasting method and application in electric power load forecasting;

Short-term electric load forecasting based on accumulated weather and ACA-GRNN;

Province and region integrated load forecasting and management platform based on weather factors;

Application of ANN to short-term power load forecasting basedon simulated annealing Gauss-Newton algorithm;

Parameter selection for support vectormachines based on genetic algorithms to short-term power load forecasting

Based on the grey forecast theory, the principle and deficiency in power load forecasting by the basic grey model and other improved models is studied, a new method—the combination optimized grey model is introduced.

Mid-long term power load forecasting of mid-voltage distribution network;

Satisfactory results are achieved in the application of this improved method in the power load forecast for power network planning of Shantou City.

According to the present situation of County s power grid and the power load forecast and the foundation of selecting power sources, we have carried on the integral planning of the grid.