Day-Ahead Power Output Forecasting for Small-Scale Solar Photovoltaic Electricity Generators

被引：129

作者：

Zhang, Yue ^{[1
]}

Beaudin, Marc ^{[1
]}

Taheri, Raouf ^{[1
]}

Zareipour, Hamidreza ^{[1
]}

Wood, David ^{[2
]}

机构：

[1] Univ Calgary, Dept Elect & Comp Engn, Inst Sustainable Energy Environm & Econ, Calgary, AB T2L 0C9, Canada

[2] Univ Calgary, Dept Mech & Mfg Engn, Calgary, AB T2L 0C9, Canada

来源：

IEEE TRANSACTIONS ON SMART GRID | 2015年 / 6卷 / 05期

基金：

加拿大自然科学与工程研究理事会;

关键词：

Forecasting; prediction; solar power; similar day; SYSTEM; CLASSIFICATION; RADIATION; PRICE;

D O I：

10.1109/TSG.2015.2397003

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Because of the rapid growth of small-scale solar electricity generation over the past few years, forecasting solar power output is becoming more important. However, changes in weather conditions cause solar power generation to be highly volatile. This paper analyses the challenges of solar power forecasting and then presents a similar day-based forecasting tool to do 24-h-ahead forecasting for small-scale solar power output forecasting.

引用

页码：2253 / 2262

页数：10

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