Name
Title | ||
|---|---|---|
Intelligent Probabilistic Forecasts of Day-Ahead Electricity Prices in a Highly Volatile Power Market |
Abstract | ||
|---|---|---|
Electricity price forecasting plays an important role in decision making on bidding strategies of selling and buying electricity. This paper computes one day-ahead (DA) quantile forecasts of electricity prices in a highly volatile market by applying regression models to a pool of point forecasts. Three data-driven forecasting methods are implemented to generate DA point forecasts of the Ontario ma... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/COMPSAC51774.2021.00034 | 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC) |
Keywords | DocType | ISSN |
Smoothing methods,Computational modeling,Weather forecasting,Artificial neural networks,Predictive models,Benchmark testing,Data models | Conference | 0730-3157 |
ISBN | Citations | PageRank |
978-1-6654-2463-9 | 2 | 0.42 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Behrouz Banitalebi | 1 | 8 | 2.35 |
| Srimantoorao S. Appadoo | 2 | 4 | 1.51 |
| Yuvraj Gajpal | 3 | 124 | 7.75 |
| A. Thavaneswaran | 4 | 130 | 21.94 |