원문정보
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Short-term load forecast plays an important role in the safe and economic operation of power system. Its prediction accuracy affects the power system's security, profit and quality directly. And meteorological factor is one of the key factors that affect the accuracy of load forecasting. In this paper, we put forward enterprise electric load forecasting method combined with grey relational degree algorithm and multivariate linear regression forecasting method. The example shows that this method can get better prediction accuracy.
목차
Abstract
1. Introduction
2. Descriptive Analysis of Sample Load
3. Study of Load Forecasting Method Based on Meteorological and Product Information
3.1. The Preprocessing of the Load Data with Grey Relational Algorithm
3.2. Multiple Linear Regression Analysis Model and Prediction
3. Analysis of Examples
4. Conclusion
References
1. Introduction
2. Descriptive Analysis of Sample Load
3. Study of Load Forecasting Method Based on Meteorological and Product Information
3.1. The Preprocessing of the Load Data with Grey Relational Algorithm
3.2. Multiple Linear Regression Analysis Model and Prediction
3. Analysis of Examples
4. Conclusion
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보