METHOD FOR ANALYZING TRANSACTION DATA IN WIND POWER BIDDING MARKET, DEVICE, APPARATUS, AND MEDIUM

摘要

A method for analyzing transaction data in a wind power bidding market, a device, an apparatus, and a medium. The method comprises: acquiring historical original data of a market, and establishing vectors according to the historical original data of the market (S10); establishing a maximum minimum difference method, performing computation on the historical original data by using the maximum minimum difference method, acquiring a computation vector, acquiring a forecast vector of the market, comparing the forecast vector against the computation vector, and if the forecast vector is within a range of the computation vector, using the forecast vector as a forecast value (S20); and establishing a neural network algorithm, performing computation on the forecast value by using the neural network algorithm, and acquiring a computation result as a forecast electricity price (S30). The method acquires the historical original data of the market, forecasts desired data by establishing a maximum minimum difference algorithm in a similar day-based method, and performs computation on forecast data by constructing the neural network algorithm after the desired data is obtained, thereby obtaining the forecast electricity price to assist a bidding decision.