Abstract: Machine learning based estimation of power consumption has been established as a method of generating exact demand estimates for mutual economic benefit of providers and consumers. The current work compares multiple implementations of a low-complexity spline-based ML technique in terms of mean error and RMSE performance to propose an accurate model for generation of power consumption estimates.

Keywords: Machine learning, demand forecasting, spline, RMSE.


Downloads: PDF | DOI: 10.17148/IJIREEICE.2021.91108

Cite This:

[1] Antara Roy, Sahitya Sekhar Roy, Mohammed Farhaab Arshad, Ashad Zubair Khan, Abhishek Jaria, Md Anoarul Islam , Judhajit Sanyal, "Comparative Analysis of Spline Based ML Methods for Power Consumption Estimation," International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI 10.17148/IJIREEICE.2021.91108

Open chat