Name
Abstract | ||
|---|---|---|
The most readily accessed and abundant renewable energy sources—wind, hydro, and solar—are weather dependent and are therefore inherently intermittent. Energy demand is also dependent on the weather as well as many other difficult-to-model factors. In fact, there are many uncertainty factors that affect the modeling of both energy demand and renewable energy sources. In this paper, we begin with a... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1147/JRD.2015.2496822 | IBM Journal of Research and Development |
Keywords | Field | DocType |
Uncertainty,Standards,Mathematical model,Renewable energy sources,Meteorology,Real-time systems,Gaussian distribution | Renewable energy,Demand forecasting,Computer science,Simulation,Real-time computing,Energy demand,Electricity generation,Environmental economics,Wind power | Journal |
Volume | Issue | ISSN |
60 | 1 | 0018-8646 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. Warren | 1 | 0 | 0.68 |
| R. Ambrosio | 2 | 0 | 0.34 |
| Bei Chen | 3 | 26 | 9.11 |
| Y. H. Fu | 4 | 0 | 0.34 |
| S. S. Ghosh | 5 | 18 | 1.77 |
| Dzung T. Phan | 6 | 61 | 10.32 |
| Mathieu Sinn | 7 | 10 | 3.65 |
| C. H. Tian | 8 | 1 | 0.72 |
| C. Visweswariah | 9 | 507 | 58.12 |