CAJ | 학술논문

基于数据处理理论，提出将电力负荷历史数据按重要影响因素日子类别及温度区间进行聚类分析的方法，设计一个递归模型，使得短期电力负荷预测函数变成线性问题，并进行MATLAB编程仿真，最后通过算例分析验证了该模型具有较高的可操作性、有效性与预测精确性。
기우수거처리이론，제출장전력부하역사수거안중요영향인소일자유별급온도구간진행취류분석적방법，설계일개체귀모형，사득단기전력부하예측함수변성선성문제，병진행MATLAB편정방진，최후통과산례분석험증료해모형구유교고적가조작성、유효성여예측정학성。
A model for cluster analysis on electric load history data is proposed in this paper based on the day type and tem -perature interval , and a recursive method is designed to make the short-term electric load forecasting function into a linear , which is programmed and simulated with MATLAB .After all, the advantage of the model is tested , proving its operability , validity and accuracy of prediction by case analysis .