背景

iEMS100

iEMS Energy Management Cloud Platform

The iEMS100 Energy Management Cloud Platform is a software system developed by Genvict for energy management in transportation scenarios. It functions as a “smart energy manager” and uses cloud computing, big data, the Internet of Things (IoT), artificial intelligence, digital twins, and transportation-energy coordination to provide system-wide visibility, intelligent control, and optimized operation of transportation energy systems. By deeply integrating and analyzing transportation and energy data, it breaks down data silos and fragmented applications between transportation and energy networks. This enables the two networks to mutually improve operational efficiency, reduce costs, and increase revenue, while raising the energy self-sufficiency rate of transportation systems and supporting zero-carbon transportation goals.
iEMS Energy Management Cloud Platform
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Product Advantages
Intelligent Dispatch:
Uses AI-based dispatch algorithms for peak-valley tariff arbitrage, demand response, virtual power plants, and other applications, maximizing energy utilization efficiency and economic returns.
Forecasting and Analysis:
Integrates weather data, traffic flow, historical electricity consumption, and other multi-source data to forecast PV generation, loads, and charging demand.
Data Reporting and Statistics:
Provides generation statistics, charging-energy analysis, revenue calculation, carbon-reduction calculation, rich report templates, custom reports, and data export.
Core Value
Cost Reduction and Revenue Growth
Uses renewable energy supply, peak-valley tariff arbitrage, demand charge control, coordinated charging, flexible interconnection, and other strategies to reduce energy costs and improve operating revenue.
Transportation-Energy Integration
Integrates and analyzes transportation-side and energy-side data to enable mutual value creation between transportation and energy networks and accelerate transportation-energy integration.
Energy Autonomy
Zero-carbon power supply and local consumption optimize the energy supply structure of transportation systems, enabling energy autonomy and zero-carbon transportation.
Application Scenarios
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