Estimating the Heating Load of Buildings for Smart City Planning Using a Novel Artificial Intelligence Technique PSO-XGBoost

Lê Thị Lệ; Hoang Nguyen; Jian Zhou; Jie Dou; Hossein Moayedi

Năm xuất bản2019

Nguồn học thuậtApplied Sciences

Định danhDOI 10.3390/app9132714

TRÍCH DẪN ĐỀ XUẤT

Lê Thị Lệ; Hoang Nguyen; Jian Zhou; Jie Dou; Hossein Moayedi (2019). Estimating the Heating Load of Buildings for Smart City Planning Using a Novel Artificial Intelligence Technique PSO-XGBoost. Applied Sciences, 9(13), 2714. https://doi.org/10.3390/app9132714

Thông tin thư mục

Nguồn/Tạp chí: Applied Sciences
Tập: 9
Số: 13
Trang: 2714
Nhà xuất bản: Multidisciplinary Digital Publishing Institute
DOI: 10.3390/app9132714 ↗

Từ khóa

Mean squared error; Mean absolute percentage error; Support vector machine; Particle swarm optimization; Cooling load; Statistics; Random forest; Mathematics; Computer science; Artificial intelligence; Algorithm; Engineering