TY  - JOUR
T1  - A Research on Spike Jump of Electricity Price in the Deregulated Power Markets
AU - , YanBin Xu AU - , Ken Nagasaka 
JO  - International Journal of Electrical and Power Engineering
VL  - 3
IS  - 2
SP  - 99
EP  - 104
PY  - 2009
DA  - 2001/08/19
SN  - 1990-7958
DO  - ijepe.2009.99.104
UR  - https://makhillpublications.co/view-article.php?doi=ijepe.2009.99.104
KW  - Electricity power market
KW  -price forecasting
KW  -price spikes
KW  -Artificial Neural Networks (ANNs)
AB  - In the deregulated power markets, the electricity market price forecasting is very important for the market participants, managers GenCo, DisCo, retailers, etc. Although, most of researches has achieved good results on the electricity market price forecasting, however, these techniques mostly focus on normal price forecasting and not considering price spikes in the electricity market. In this study, we propose a price interval identification model using neural network, which can generate forecasted price interval, level of spike and associated forecast confidence. The model is tested with the Queensland electricity market data of Australia and promising results are been obtained.
ER  -