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.
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