Queensland load profiling by using clustering techniques
作者： Daven Colley , Nadali Mahmoudi , Daniel Eghbal , Tapan K. Saha
DOI: 10.1109/AUPEC.2014.6966554
关键词:
摘要: Load profiling is essential in power systems operation and planning. Accurate load profiles lead to a better scheduling as well price forecasting. Clustering techniques are used provide an enhanced knowledge on electrical patterns. This paper deals with clustering methods analyze Queensland's data. The K-means method here, where its accuracy measured using the dispersion indicator (CDI). applied Queensland curves 2013, distinct monthly yearly obtained. In addition, characteristic of each profile depending day type weather conditions analyzed.
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