REGRESSION-BASED PREDICTIVE MODELS FOR ESTIMATION OF ELECTRICITY CONSUMPTION

Authors

  • Md Anoarul Islam Department of Electronics and Communication Engineering, Techno International NewTown, Kolkata, India
  • Manabendra Maiti Department of Electronics and Communication Engineering, Techno International NewTown, Kolkata, India
  • Judhajit Sanyal Department of Electronics and Communication Engineering, Techno International New Town, Kolkata, India

Keywords:

electric power consumption,, demand matching,, regression,, machine learning,

Abstract

The estimation of electric power consumption is an integral part of power generation economics and is critical to optimization of cost of production of electricity, since it allows demand matching for optimized generation of electricity. The present paper augments a simple regression-based scheme with a predictive machine-learning based piecewise linear slope-estimation technique for more accurate estimates, which is further modified to compensate for initialization error.

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Published

2021-03-27

Issue

2019: ICSD

Section

Articles

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