Multi-algorithm Fusion Framework for Energy Prediction of Energy Harvesting IoT Node and Implementation  

作　　者：LI Xiangyu XIE Nijie 

机构地区：[1]Institute of Microelectronics,Tsinghua University,Beijing 100084,China [2]Beijing National Research Center for Information Science and Technology,Beijing 100084,China

出　　处：《Chinese Journal of Electronics》2020年第5期952-958,共7页电子学报（英文版）

基　　金：supported by the Research and Development Plan in Key Areas of Guangdong Province,China(No.2019B010117002).

摘　　要：Accurate harvested energy prediction of the energy harvesting Internehings(IoT)nodes is the basis of the proper power management and should be lowoverhead.A new multi-algorithm fusion framework,which merges results of multiple prediction algorithms to achieve a higher accuracy,has been proposed.A three-algorithm fusion solar radiation predictor was implemented.The experiments using the real solar radiation data show that it improves the percentage prediction error by 10%—26%for different prediction intervals.Its complexity is low enough to run on the embedded systems in real-time.

关 键 词：Energy harvesting Energy prediction Multi-algorithm fusion Internethings. 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术] TN929.5[自动化与计算机技术—计算机科学与技术]