Realization of One-to-One After Follow-Up! A case that enabled automatic determination of whether someone is at home based on power data.
We would like to introduce a case that enabled automatic determination of whether a person is at home or not (One to One After Follow). In the power industry’s maintenance management operations, we were considering predicting whether people are at home or not based on the electricity consumption of residences and offices, and linking this to initiatives such as peak shifting and monitoring services. Therefore, we made it possible to determine whether a person is at home or not using machine learning algorithms on the electricity consumption data obtained from smart meters. [Case Overview] ■ Industry: Power ■ Business: Maintenance Management ■ Challenges: Improving operational efficiency, service development ■ Analytics & AI Solution - Determining whether a person is at home or not using machine learning algorithms from electricity consumption data *For more details, please refer to the PDF document or feel free to contact us.
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**Effect** ■ Automatic determination of presence or absence at home can now be made from power data. *For more details, please refer to the PDF document or feel free to contact us.*
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For more details, please refer to the PDF document or feel free to contact us.
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We provide comprehensive support for our customers' DX promotion and data utilization. Our support includes analysis by data scientists and engineers from academic backgrounds, assistance with product utilization, and the establishment of data science organizations within our customers' companies, tailored to meet their needs. Please feel free to contact us if you have any requests.