Power System Mid-Long Term Load Forecasting Based On Wavelet Neural Network

Load forecasting for power system is one of the important tasks of power utilities. Accurate load forecasting is helpful to planning generators' starting and stopping in the interior of the electrical networks economically and reasonably, preserving the security and stability of power system, reducing the unnecessary circumvolving repertory capacity, making planning to overhaul the units in reason, ensuring the normal production and life of the society, effectively reducing the cost of generating electricity, increasing the economical and social benefit. Power load forecasting becomes more important to power system planning, operation and control especially when the electrical industry of our country gradually makes for market.Firstly, the paper begins with the concept of load forecasting and expatiate the function, trait, principle, development of forecasting technology, analyzing and comparing the merits and shortcomings of some forecasting methods at home and abroad., then, give a new method to predict the monthly load of shan' xi.