An advanced application to decrease household power consumption and save energy detecting the weather condition

Ishtiak, Taoseef; Orpon, Rahman Masuk; Mashnoor, Nowfel; Ahmed, Moonmoon; Nazim, Mohd

doi:10.1109/iemcon.2017.8117168

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2020

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“…The natural resources of the planet must be conserved to the maximum for their suitability in the coming years. For this reason, electricity generation is focused on renewable energies that meet the growing need of emerging cities [1]. Consequently, the consumption forecast is a planning task that allows all members of the energy market to cooperate effectively.…”

Section: Introductionmentioning

confidence: 99%

Regression Models Comparison for Efficiency in Electricity Consumption in Ecuadorian Schools: A Case of Study

Toapanta-Lema

Gallegos

Rubio-Aguilar

et al. 2020

Communications in Computer and Information Science

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Consumption forecast models with their proper billing allow establishing strategies to avoid overloads in systems and penalties for high consumption. This paper presents a comparison of multivariate data prediction models that allow detecting the final monthly cost of electricity consumption in relation to the different billing parameters. As relevant results, it was obtained that the models based on decision support machines have a better sensitivity when compared with different metrics that evaluate the prediction error with training set improved by backward elimination criteria.

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Section: Introductionmentioning

confidence: 99%