Abstract
Load Forecasting plays a critical role in the management, scheduling and dispatching operations in power systems, and it concerns the prediction of energy demand in different time spans. In future electric grids, to achieve a greater control and flexibility than in actual electric grids, a reliable forecasting of load demand could help to avoid dispatch problems given by unexpected loads, and give vital information to make decisions on energy generation and purchase, especially market-based dynamic pricing strategies. Furthermore, accurate prediction would have a significant impact on operation management, e.g. preventing overloading and allowing an efficient energy storage. © 2011 IEEE.
| Original language | English |
|---|---|
| Pages (from-to) | 47-56 |
| Number of pages | 10 |
| Journal | IEEE Computational Intelligence Magazine |
| Volume | 6 |
| Issue number | 3 |
| Early online date | 20 Jul 2011 |
| DOIs | |
| Publication status | Published - Aug 2011 |
| Externally published | Yes |
Funding
Part of this work was done while the first author visited CERC IA, School of Computer Science, University of Birmingham, UK. We would like to thank H. Chen for providing the RNCL source code and for his support. This work was partially funded by EU IntelliCIS (COST Action IC0806) and by CERCIA.