Short-term load forecasting with clustering–regression model in distributed cluster


This paper tackles a new challenge in power big data: how to improve the precision of short-term load forecasting with large-scale data set. The proposed load forecasting method is based on Spark platform and “clustering–regression” model, which is implemented by Apache Spark machine learning library (MLlib). Proposed scheme firstly clustering the users… (More)
DOI: 10.1007/s10586-017-1198-4


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