Name
Abstract | ||
|---|---|---|
One of the primary tasks of electric utilities is to accurately predict the load demand requirements of consumers, especially for short term prediction. In view of this, different methods have been proposed for load prediction. In this paper, three methods (i.e. Multiple Linear Regression (MLR), Seasonal Auto Regressive Integrated Moving Average with Exogenous Variables (SARIMAX) and Long Short Te... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/AFRICON51333.2021.9570963 | 2021 IEEE AFRICON |
Keywords | DocType | ISBN |
Load forecasting,Linear regression,Mean square error methods,Predictive models,Power industry,Task analysis,Root mean square | Conference | 978-1-6654-1984-0 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ayodeji Samson Ogunjuyigbe | 1 | 0 | 0.68 |
| Temitope Raphael Ayodele | 2 | 0 | 0.68 |
| Chimeremeze Praise Lasarus | 3 | 0 | 0.34 |
| Yusuff, A.A. | 4 | 0 | 5.07 |
| Thapelo Cornelius Mosetlhe | 5 | 0 | 0.34 |