Regression-Based Modeling for Energy Demand Prediction in a Prototype Retail Manipulator

Piotr Kroczek (), Krzysztof Lis and Piotr Przystałka
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Piotr Kroczek: Department of Fundamentals of Machinery Design, Silesian University of Technology, 18a Konarskiego Street, 44-100 Gliwice, Poland
Krzysztof Lis: Department of Machine Technology, Silesian University of Technology, 18a Konarskiego Street, 44-100 Gliwice, Poland
Piotr Przystałka: Department of Fundamentals of Machinery Design, Silesian University of Technology, 18a Konarskiego Street, 44-100 Gliwice, Poland

Energies, 2025, vol. 18, issue 14, 1-19

Abstract: The present study proposes two regression-based models for predicting the energy consumption of a four-axis prototype retail manipulator. These models are developed using experimental current and voltage measurements. The Total Energy Model (TEM) is a method of estimating energy per trajectory that utilizes global motion parameters. In contrast, the Power-to-Energy Model (PEM) is a technique that reconstructs energy from predicted instantaneous power. It has been demonstrated that both models demonstrate high levels of predictive accuracy, with mean absolute percentage error (MAPE) values ranging from 1 to 1.5%. These models are well-suited for implementation in hardware-constrained environments and for integration into digital twins.

Keywords: energy consumption modeling; regression methods; retail manipulator (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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