Power Load Forecasting Based on Wireless Sensor Networks

International Association of Online Engineering

Weidong Li¹  Xingping Liu² 

[1] Information Engineering, Hunan Institute of Engineering;College of Electrical &Powerchina Zhongnan Engineering Co Ltd.

关键词: LSSVM;    WSN;    power data;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

At present, wireless sensor networks (WSN) technology is a field of much research interest in the area of information technology. The application of wireless sensor networks is expected to be very broad. With the development of communication protocol and their corresponding components, wireless sensor networks technology plays an increasingly important role in the power industry. The analysis and forecast of electric power data is essential to the construction and operation of the power network. Through the wireless sensor networks, we can obtain comprehensive power data. Then we can better forecast the power load through the data we obtain from the wireless sensor networks. In this paper, we propose an improved LSSVM method. We collect the power data by the wireless sensor networks and use the improved LSSVM method to forecast the power load. Experimental results demonstrate the effectiveness of the proposed method.

【 授权许可】

Unknown