Name
Abstract | ||
|---|---|---|
Electricity price forecasting has become an essential task for electricity buyers and sellers participating in competitive power markets. Compared to the existing point forecasting methods, probabilistic forecasting approaches provide more information about the future forecasts of electricity prices. This paper uses the double exponential smoothing (DES) and triple exponential smoothing (TES) meth... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CCECE53047.2021.9569081 | 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) |
Keywords | DocType | ISSN |
Regularized Probabilistic Forecasts,Day-Ahead Electricity Prices,Gradient Boosting Regression,Power Procurement | Conference | 0840-7789 |
ISBN | Citations | PageRank |
978-1-6654-4864-2 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Behrouz Banitalebi | 1 | 8 | 2.35 |
| Srimantoorao S. Appadoo | 2 | 4 | 1.51 |
| A. Thavaneswaran | 3 | 130 | 21.94 |