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 certain waste disposal facility. This system is designed to reduce unused waste heat and promote efficient heat utilization through a heat demand forecasting system that uses machine learning (deep learning) technology to predict and notify potential time periods when demand exceeds 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 - Prediction technology using machine learning (deep learning) - Predicts and notifies time periods when demand exceeds supply (to administrators, 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.