A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks

J.R.S. Iruela,L.G.B. Ruiz,M.C. Pegalajar,M.I. Capel

Energy Conversion and Management（2020）

引用 15|浏览13

暂无评分

摘要

•A GPU-based approach to forecast energy consumption in buildings.•An effective implementation of NSGA-II and ANN based on parallel optimization.•GPU design far outperforms the classical implementation in terms of time.

查看译文

关键词

Energy consumption forecasting,Artificial neural networks,GPU,Evolutionary algorithm

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要