Main Reference PaperBig data time series forecasting based on nearest neighbours distributed computing with Spark, Knowledge-Based Systems, 2018 [Python/Apache Spark]
  • A big data time series forecasting is proposed based on the k-weighted nearest neighbor algorithm. It is implemented on the application that energy demand time series in the Spanish electricity market. The proposed algorithm splits the input dataset into the training set and the test set. By exploiting the past values and to be used as a pattern to look for its k number of closest neighbors. Then predicts the values for the whole test suite.

Description
  • A big data time series forecasting is proposed based on the k-weighted nearest neighbor algorithm. It is implemented on the application that energy demand time series in the Spanish electricity market. The proposed algorithm splits the input dataset into the training set and the test set. By exploiting the past values and to be used as a pattern to look for its k number of closest neighbors. Then predicts the values for the whole test suite.

  • To improve the scalability.

  • Reducing computational cost.

  • To improve the prediction accuracy.

Aim & Objectives
  • To improve the scalability.

  • Reducing computational cost.

  • To improve the prediction accuracy.

  • A dynamic time warping algorithm is contributed to improve the distance to the closest neighbors.

Contribution
  • A dynamic time warping algorithm is contributed to improve the distance to the closest neighbors.

  • 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.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

Leave Comment

Your email address will not be published. Required fields are marked *

clear formSubmit