Title | ||
---|---|---|
Short-Term Load Forecasting by Separating Daily Profiles and Using a Single Fuzzy Model Across the Entire Domain. |
Abstract | ||
---|---|---|
The problem of energy load forecasting has emerged as an essential area of research for electrical distributors seeking to minimize costs. This problem has a high degree of complexity; therefore, this paper solves the problem of short-term load forecasting for a day ahead using an adaptive fuzzy model, defined across the entire input space in order to share information between different areas. The... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TIE.2018.2795555 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Load modeling,Adaptation models,Predictive models,Temperature measurement,Load forecasting,Forecasting,Power generation | Least mean squares filter,Mathematical optimization,Fuzzy model,Control theory,Load forecasting,Engineering,Cluster analysis,Membership function,Electricity generation,Recursion,Energy distribution | Journal |
Volume | Issue | ISSN |
65 | 9 | 0278-0046 |
Citations | PageRank | References |
2 | 0.38 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gregor Cerne | 1 | 2 | 0.38 |
Dejan Dovzan | 2 | 117 | 8.18 |
Igor Skrjanc | 3 | 354 | 52.47 |