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  6. Action proposal type EMS and disaggregation current meter

Action proposal type EMS and disaggregation current meter

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last updated:Mar 04, 2025

EnergyColoring
EnergyColoring
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Installation completed in 15 minutes; measurement begins. AI supports data interpretation and action suggestions.

EnergyColoring Inc. provides a new approach to promote the visualization of energy use and decarbonization in the industrial and commercial sectors, achieving energy savings not only through traditional capital investments but also through operational improvements. The products mainly consist of the following two elements: - Disaggregated Current Meters: Current sensors are retrofitted to existing power lines, allowing for easy installation (no electrical work required) to estimate the power consumption of each device simply. - Action Proposal EMS: Based on data obtained from sensors, it utilizes the latest IoT, AI, and generative AI technologies to propose specific actions for operational improvements in real-time.

    Power Monitoring EquipmentBusiness Intelligence and Data Analysis
スクリーンショット

Action proposal type EMS and disaggregation current meter

スクリーンショット 2025-03-03 103215.png
スクリーンショット 2025-03-03 103215.png
  • Related Link - https://energy-coloring.com

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【Disaggregated Current Meter】 Installation Method: Retrofitted, easy installation in about 15 minutes (no electrical work required) Measurement Function: Acquires real-time current waveforms and automatically identifies and groups up to 16 breakdowns Data Integration: Uploads via mobile network, minute-by-minute data, EMS integration updates every 15 minutes AI Utilization: Disaggregation analysis using unsupervised AI (approximately 14 days of learning period) 【Action Proposal Type EMS】 Function: Proposes specific energy-saving actions based on real-time power data Dashboard: Allows for visual data analysis such as graph displays and facility comparisons Data Provision: API for minute-by-minute 16-dimensional breakdown data, evaluation and action proposal API, supports CSV download Update: AI learning on the cloud, latest data updated every 15 minutes (API is 1 minute delayed)

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〇Case Studies As specific implementation examples, demonstration experiments have been conducted by multiple companies and organizations, including Enegate, Hiroshima Electric Railway, Joyo Bank, and Shimizu Corporation. Through the case studies of each company, the actual energy-saving effects and operational improvements have been demonstrated. Media Exposure Featured in publications such as the Nikkan Kogyo Shimbun, Denki Shimbun, and Nikkei Shimbun, it has received high praise as a notable climate tech company.

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EnergyColoring

EnergyColoring

Energy

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EnergyColoring Inc. is an innovative company that achieves decarbonization and energy conservation by visualizing energy use in commerce and industry. By utilizing disaggregation technology, it analyzes consumption patterns of each facility in detail from current waveforms and proposes operational improvement actions using IoT sensors and AI, including generative AI. This enables efficient energy management from an operational perspective, in addition to traditional capital investment, supporting sustainable growth and reducing environmental impact for businesses.

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[Half Price PoC] AI_IoT_Utilizing Generative AI for Smart Visualization of Electricity
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Action Proposal EMS (IoT/AI/Generative AI Cloud)

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