Data:Geo-dependent energy demand and supply Web-Service
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|Description|| Web-service to share the results of task 3.1.1 (Geo-dependent Energy Supply in Relation to Urban Form) and task Geo-dependent Energy Demand.
Results are available at commune level and pixel level for different pixel sizes.
Access is secured with username and password. Please contact firstname.lastname@example.org to get an login.
The main objective of module is to share results arising from tasks 3.1.1 and 3.1.2 (Geo-dependent energy supply and demand) within SCCER-FEEB&D as well as other SCCER projects. To reach this goal share data from a database fulfilling the following requirements:
|Authors||Stefan Schneider (UNIGE), Dan Assouline, Nahid Mohajeri, Jean-Louis Scartezzini (EPFL-LESO)|
|Related publications|| 1. Deliverable report D36: Structure, syntax and method of the database. Stefan Schneider (lead), Dan Assouline, Nahid Mohajeri, Jean-Louis Scartezzini
2. Assouline, D, Mohajeri, N, Scartezzini, J-L. 2015. A machine learning methodology for estimating rooftop PV solar energy potential in Switzerland. CISBAT 2015, Future Building and Districts Sustainability from Nano to Urban Scale. EPFL, Lausanne, 9-11 September.
3. Schneider, S, Khoury, J, Lachal, B, Hollmuller P. 2015. Geo-dependent heat demand model of the Swiss building stock. Conference paper submitted to the Sustainable Built Environment (SBE) regional conference 2016.
|Licence type||CC BY-NC-SA|
|Tags||Web-Service, Geo-dependent Energy Demand, Geo-dependent Energy Supply|
|Accessible to||SCCER FEEB&D|
|Rating:||Not yet rated|
Layer 2 information
|Layer 2 compatible?||No|
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