Name
Abstract | ||
|---|---|---|
Development of smart grid technologies has created a promising atmosphere for smart cities and energy trading markets. Especially, traditional electricity consumers evolve into prosumers who produce as well as consume electricity in modern power electric systems. In this evolution, the electric power industry has tried to introduce the notion of local energy markets for prosumers. In the local ene... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TIE.2018.2849979 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Generators,Power markets,Clustering algorithms,Power systems,Unsupervised learning,Renewable energy sources,Optimization | Electric power,Mathematical optimization,Renewable energy,Smart grid,Electricity,Energy market,Electric power system,Control engineering,Electric power industry,Distributed generation,Engineering | Journal |
Volume | Issue | ISSN |
66 | 2 | 0278-0046 |
Citations | PageRank | References |
2 | 0.37 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laihyuk Park | 1 | 23 | 6.01 |
| Seohyeon Jeong | 2 | 10 | 1.86 |
| Joongheon Kim | 3 | 611 | 81.49 |
| Sungrae Cho | 4 | 278 | 39.43 |