Renewable Power Output Forecasting Using Least-Squares Support Vector Regression and Google Data

ASIA unversity > 管理學院 > 經營管理學系 > 期刊論文 > Item 310904400/112411

請使用永久網址來引用或連結此文件: http://asiair.asia.edu.tw/ir/handle/310904400/112411

題名:	Renewable Power Output Forecasting Using Least-Squares Support Vector Regression and Google Data
作者:	Kuen-Suan Chen;Kuo-Ping Lin;Jun-Xiang Yan;Wan-Lin Hsieh
貢獻者:	經營管理學系
日期:	2019-05
上傳時間:	2019-11-08 03:27:48 (UTC+0)
摘要:	Sustainable and green technologies include renewable energy sources such as solar power, wind power, and hydroelectric power. Renewable power output forecasting is an essential contributor to energy technology and strategy analysis. This study attempts to develop a novel least-squares support vector regression with a Google (LSSVR-G) model to accurately forecast power output with renewable power, thermal power, and nuclear power outputs in Taiwan. This study integrates a Google application programming interface (API), least-squares support vector regression (LSSVR), and a genetic algorithm (GA) to develop a novel LSSVR-G model for accurately forecasting power output from various power outputs in Taiwan. Material price and the search volume via Google’s search engine for keywords, which is used for various power outputs and is collected by Google APIs, are used as input data. The forecasting model uses LSSVR. Furthermore, the LSSVR employs a GA to find the optimal parameters for the LSSVR. Real-world annual power output datasets collected from Taiwan were used to demonstrate the forecasting performance of the model. The empirical results reveal that the proposed LSSVR-G model is superior to all other considered models both in terms of accuracy and stability, and, thus, can be a useful tool for renewable power forecasting. Moreover, the accuracy forecasting thermal power and nuclear power could effectively assist in understanding the future trend of renewable power output in Taiwan. The accurately forecasting result could effectively provide basic information for renewable power, thermal power, and nuclear power planning and policy making in Taiwan.
關聯:	Sustainability
顯示於類別:	[經營管理學系 ] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
index.html		0Kb	HTML	370	檢視/開啟

檢視Licence

在ASIAIR中所有的資料項目都受到原著作權保護.

資料載入中.....