Name
Title | ||
|---|---|---|
The Role of Learning Methods in the Dynamic Assessment of Power Components Loading Capability |
Abstract | ||
|---|---|---|
The need for dynamic loading of power components in the deregulated electricity market demands reliable assessment models that should be able to predict the thermal behavior when the load exceeds the nameplate value. When assessing network load capability, the hot-spot temperature of the components is known to be the most critical factor. The knowledge of the evolution of the hot-spot temperature ... |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TIE.2004.841072 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Learning systems,Temperature,Economic forecasting,Electricity supply industry deregulation,Electricity supply industry,Predictive models,Thermal loading,Insulation life,Power generation economics,Machine learning | Electricity market,Nameplate,Dynamic assessment,Transformer,Control engineering,Electronic engineering,Dynamic loading,Engineering,Knowledge modeling,Reliability engineering | Journal |
Volume | Issue | ISSN |
52 | 1 | 0278-0046 |
Citations | PageRank | References |
5 | 1.21 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. Villacci | 1 | 43 | 7.62 |
| A. Vaccaro | 2 | 50 | 6.02 |
| Gianluca Bontempi | 3 | 24 | 6.59 |
| Mauro Birattari | 4 | 471 | 30.81 |