Semantic Scholar Open Access 2017 56 sitasi

Application of artificial neural networks for determining energy-efficient operating set-points of the VRF cooling system

M. Chung YoungSoon Yang K. Lee J. Lee J. Moon

Lihat Sumber DOI

Topik & Kata Kunci

Engineering

Penulis (5)

M. Chung

YoungSoon Yang

K. Lee

J. Lee

J. Moon

Format Sitasi

APA MLA BibTeX

Chung, M., Yang, Y., Lee, K., Lee, J., Moon, J. (2017). Application of artificial neural networks for determining energy-efficient operating set-points of the VRF cooling system. https://doi.org/10.1016/J.BUILDENV.2017.08.044

Akses Cepat

PDF tidak tersedia langsung

Cek di sumber asli →

Lihat di Sumber doi.org/10.1016/J.BUILDENV.2017.08.044

Informasi Jurnal

Tahun Terbit: 2017
Bahasa: en
Total Sitasi: 56×
Sumber Database: Semantic Scholar
DOI: 10.1016/J.BUILDENV.2017.08.044
Akses: Open Access ✓