A case study of a heat demand forecasting system aimed at reducing unused waste heat and promoting efficient heat utilization!
We would like to introduce a case study on the development of a "Heat Demand Management System" for a waste treatment facility. This heat demand forecasting system aims to reduce unused waste heat and promote efficient heat utilization. It employs predictive technology using machine learning (deep learning) to forecast and notify about time slots where demand may exceed supply. Please feel free to contact us if you have any inquiries. 【Case Overview】 ■ Heat demand forecasting system aimed at reducing unused waste heat and promoting efficient heat utilization - Predictive technology using machine learning (deep learning) - Forecasts and notifies about time slots where demand may exceed supply (to managers, heat suppliers, and consumers) *For more details, please download the PDF or feel free to contact us.
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Our company is an independent firm primarily engaged in products and services in the fields of environment, healthcare, nursing care, and education, as well as software, hardware, and network development solutions. We offer services such as the "Worker Monitoring Service," which supports safety management for workers through IoT. Please feel free to contact us if you have any inquiries.
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