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- W4313444834 abstract "Energy monitoring and predicting play a vital role in setting up an industry. The cost spent by the industry for its energy consumption in producing its products acquires an important position in evaluating the profit percentage of the industry. For many decades, the concept of energy prediction is practiced and effective approaches are analyzed based on various parameters that are to be considered. Recently, various machine learning approach provides feasible solution in energy prediction with higher levels of accuracy. In this paper, we discuss about various regression-based energy prediction models for energy consumed by the machineries in the industry level." @default.
- W4313444834 created "2023-01-06" @default.
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- W4313444834 date "2023-01-01" @default.
- W4313444834 modified "2023-10-16" @default.
- W4313444834 title "Multi-regressions Based-Traditional Machine Learning Approach for Energy Forecasting System" @default.
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- W4313444834 doi "https://doi.org/10.1007/978-981-19-2358-6_9" @default.
- W4313444834 hasPublicationYear "2023" @default.
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