مجلة جامعة الزيتونة الدولية للنشر العلمي مجلة علمية، محكمة، شهرية، مفتوحة الوصول
Abstract
This paper illustrates measure cost paths for renewable energy resources using Geographic Information Technology and Remote Sensing. In addition to solve the Network Route for solar energy services, wind energy services, and biogas energy services. The importance’s is decision support Maker and Sustainable develop goals. We followed the Geoinformatics Methodology. There are many results: Design Origin Destination Cost Matrix (OD) Renewable Energy Model, Develop Origin Destination Cost Matrix (OD) Renewable Energy Geodatabase, Find the least-cost paths between each origin and any closest Renewable Energy destinations. We recommendations are developing Origin Destination Cost Matrix (OD) Renewable Energy applications (Desktop, web site, Mobile Application). The future researches develop Origin Destination Cost Matrix (OD) Renewable Energy depend on internet of thing, GIS data cloud, and Neural Network.
Keywords
Artificial Intelligent (AI); Transport Network; Street View imagery (SVI); Internet Of Thing (IoT).
By :
Taha
Alfadul Taha Ali
Associate
Professor of Information Technology (Geoinformatics),
College
of Computer Science & Information Technology, Alzaiem Alazhari University,
Khartoum
