Muhammed A. Hassan
Associate Professor of Mechanical Power Engineering at Cairo University
#1 Cairo University Rd, Giza District 12613, Giza Governorate, Egypt
(email)
Publications
Bio
Classes
Potential of four different machine-learning algorithms in modeling daily global solar radiation
View
What links here
Citation:
Hassan, M. A., A. Khalil, S. Kaseb, and M. A. Kassem, "Potential of four different machine-learning algorithms in modeling daily global solar radiation", Renewable energy, vol. 111: Pergamon, pp. 52-62, 2017.
Export
RTF
Tagged
XML
BibTex
Google Scholar
Abstract:
n/a
Notes:
n/a
Recent Publications
Energy Reports
A preliminary investigation of a novel solar-powered absorption-desiccant-radiant cooling system for thermally active buildings
Optimizing the characteristic cooling curves of PCM-integrated thermally active buildings: Experimental and numerical investigations
A novel approach to clean polygeneration using a triple-function compound parabolic solar collector
Global scale solar energy harnessing: An advanced intra-hourly diffuse solar irradiance predicting framework for solar energy projects
more
Tourism