Name
Abstract | ||
|---|---|---|
The increase of distributed energy resources, mainly based on renewable sources, requires new solutions that are able to deal with this type of resources' particular characteristics (namely, the renewable energy sources intermittent nature). The smart grid concept is increasing its consensus as the most suitable solution to facilitate the small players' participation in electric power negotiations... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TNNLS.2015.2461491 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Electricity supply industry,Optimization,Artificial neural networks,Context,Databases,Portfolios,Adaptation models | Electricity market,Market microstructure,Smart grid,Computer science,Portfolio,Market system,Portfolio optimization,Distributed generation,Artificial intelligence,Industrial organization,Financial market,Machine learning | Journal |
Volume | Issue | ISSN |
27 | 8 | 2162-237X |
Citations | PageRank | References |
9 | 0.88 | 10 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiago Pinto | 1 | 68 | 25.43 |
| Hugo Morais | 2 | 257 | 31.41 |
| Tiago M. Sousa | 3 | 193 | 22.35 |
| Tiago M. Sousa | 4 | 193 | 22.35 |
| Zita A. Vale | 5 | 390 | 85.67 |
| Isabel Praça | 6 | 212 | 40.45 |
| Ricardo Faia | 7 | 14 | 3.74 |
| Eduardo José Solteiro Pires | 8 | 28 | 4.97 |