Name
Title | ||
|---|---|---|
GIS-Based Software Infrastructure to Model PV Generation in Fine-Grained Spatio-Temporal Domain. |
Abstract | ||
|---|---|---|
Nowadays, we are moving forward to more sustainable societies, where a crucial issue consists in reducing footprint and greenhouse emissions. This transition can be achieved by increasing the penetration of distributed renewable energy sources together with a smarter use of energy. To achieve it, new tools are needed to plan the deployment of such renewable systems by modeling variability and unce... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSYST.2017.2726350 | IEEE Systems Journal |
Keywords | Field | DocType |
Tools,Production,Software,Computational modeling,Urban areas,Energy resolution,Meteorology | Geographic information system,Software deployment,Renewable energy,Computer science,Real-time computing,Software,Smart city,Footprint,Photovoltaic system,Greenhouse gas | Journal |
Volume | Issue | ISSN |
12 | 3 | 1932-8184 |
Citations | PageRank | References |
2 | 0.44 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lorenzo Bottaccioli | 1 | 13 | 6.34 |
| Edoardo Patti | 2 | 63 | 17.17 |
| Enrico Macii | 3 | 2405 | 349.96 |
| Andrea Acquaviva | 4 | 461 | 52.97 |