Electricity price classification data mining and Its application in demand side management
In the electricity market,electricity price prediction plays an important role in optimal scheduling decisions.Electricity price prediction is mainly carried out from the perspective of"point prediction",that is,predicting the exact value of future prices.In addition,in practical applications such as demand side management,operational decisions are made based on certain price thresholds.Therefore,the"categories"that are expected to obtain future prices are considered as electricity price classification problems.In this article,the application and effectiveness of data mining methods in electricity price classification were studied,and a new data model was proposed to form an initial dataset for price classification.Provided simulation results for two regional prices.Finally,the generated numerical results will be applied to the demand side management case study.
electricity price classificationdata miningdemand side managementprice threshold
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