Main Reference PaperInterpretable multiple data streams clustering with clipped streams representation for the improvement of electricity consumption forecasting, Data Mining and Knowledge Discovery, 2018 [Java/Python/R]
  • A ClipStream approach is proposed for multiple data stream clustering of smart meter data. It consists of three phases: such as clustering non-outlier representations, the aggregation of consumption within clusters, and unsupervised change detection procedure on aggregated time series stream windows.

+ Description
  • A ClipStream approach is proposed for multiple data stream clustering of smart meter data. It consists of three phases: such as clustering non-outlier representations, the aggregation of consumption within clusters, and unsupervised change detection procedure on aggregated time series stream windows.

  • To improve forecasting accuracy.

  • Low Computational complexity.

+ Aim & Objectives
  • To improve forecasting accuracy.

  • Low Computational complexity.

  • A ClipStream behavior and its forecasting accuracy improvement are evaluated on different real-time datasets.

+ Contribution
  • A ClipStream behavior and its forecasting accuracy improvement are evaluated on different real-time datasets.

  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

+ Software Tools & Technologies
  • OS: Ubuntu 12.04 LTS 64bit

  • Language: Java/Python/R

  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech/ MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

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