Power grid investment scale prediction method, system and equipment

• Main Authors: YI HAIQIONG, ZHANG TIANQI, MA JUNXIAN, PENG DONG, LIU HONGYANG, WANG XUEYING, ZHAO LANG, LIU YIHAN, LI YIZHENG, FENG XUE
• Format: Patent
• Language: Chinese; English
• Published: 24.11.2023
• 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; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a power grid investment scale prediction method, system and equipment, and the method comprises the steps: firstly constructing an influence factor system of a power grid investment scale, and selecting key influence factors from the influence factor system; and taking the data of the key influence factors as the input of a power grid investment scale prediction model based on particle swarm optimization improved firefly algorithm optimization support vector machine parameters, and obtaining a power grid investment scale prediction result based on the model. According to the method, the accuracy of power grid investment scale prediction is effectively improved, a new way is provided for power grid investment prediction research, and the obtained power grid investment scale can provide effective support for scientific and efficient decision-making of a decision-making layer. 一种电网投资规模预测方法、系统及设备，该方法先构建电网投资规模的影响因素体系，并从影响因素体系中选取关键影响因素，再将关键影响因素的数据作为基于粒子群算法改进的萤火虫算法优化支持向量机参数的电网投资规模预测模型的输入，基于该模