Thermal power enterprise monthly rolling matchmaking transaction bidding system based on LSTM

• Main Authors: NING BO, SHAO LIN, WANG HONGPING, QIAO NING, GAO CHUNCHENG, LI SHENGTAO, ZHANG JING, CHEN JIE, HE CHUNNING, ZHANG CHAO, LI QIANG, ZHANG JISHENG, CHEN HAIDONG, WU CHENNING
• Format: Patent
• Language: Chinese; English
• Published: 08.12.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a thermal power enterprise monthly rolling matchmaking transaction bidding method and system based on LSTM. The method comprises the following steps: step 1, collecting a thermal power enterprise unit output value, operation data of a coal consumption coefficient, thermal power enterprise unit cost data, a thermal power unit rated power, historical electricity price data of each time period and real bid winning electricity price of each time period; 2, constructing a thermal power enterprise average cost model; 3, predicting the electricity price by using an LSTM model, obtaining the predicted electricity price of each time period of the historical rolling matchmaking transaction, comparing the predicted electricity price with the real bid-winning electricity price, and obtaining an offset proportion; constructing a probability density model, and further constructing a probability density function f (M real i) taking the bid price in the time period as a random variable; and constructi