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Core Vector Machine for Electricity Price Forecasting by Rahul Sharma is a document available to read on EtoBox.

This document discusses applying Core Vector Machine (CVM) to predict day-ahead electricity prices in India. CVM is a machine learning technique that can handle large datasets more efficiently than other methods like Support Vector Machine (SVM). The document presents the CVM methodology, which works by iteratively adding points outside a minimum enclosing ball to a core set until all points are covered, allowing it to scale to large data without depending on dataset size. Simulation results showed CVM with

Author

Rahul Sharma

Language

EN