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 someone is at home or not (One to One After Follow). In the power industry’s maintenance management operations, we aimed to predict whether individuals are at home or not based on the power consumption of residential and office spaces, and connect this to initiatives such as peak shifting and monitoring services. To achieve this, we utilized machine learning algorithms to determine whether individuals are at home or not from the power consumption data obtained from smart meters. 【Case Overview】 ■Industry: Power ■Operation: Maintenance Management ■Challenges: Improving operational efficiency, service development ■Analytics and AI Solution - Determining whether individuals are at home or not using machine learning algorithms from power 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.