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PARAMETER Automated control of equipment with collected data and analyzed energy usage patterns, ensuring reduced energy consumption and optimal indoor temperature
Implementation in phases based on building types, without replacement of equipment and structural remodeling
AI-supported monitoring of energy consumption during operations, with an alerting mechanism that identifies unusual power surges for enhanced energy efficiency
Visualized data of energy consumption for improved energy strategy and decision making
Show the data such as power consumption, temperature, humidity and CO2 concentrations by day/week/month. The user can export the report when needed.
When the power consumption exceeds the contracted capacity, the system will send alerts via emails or LINE messages to help companies understand the trend of power consumption accurately.
Integrate the power generation data of a self-owned site and analyze the trend of power consumption to accurately calculate the most suitable green energy wheeling capacity model.
Enter the power consumption data of multiple buildings and develop the best green power supply strategy through data analysis and AI-based modeling.
Calculation can be adjusted based on the regularly-updated electricity rate in different countries for optimized contracted capacity and reduced costs.
ElectriSwift gathers environmental data (air quality index, temperature and humidity, etc.) and auto-detects movement and occupancy within designated areas. Its built-in AI predicts cooling system energy usage and continuously optimizes energy strategies. Through intelligent control of air conditioning and lighting, ElectriSwift maintains optimal comfort while enhancing visibility into usage patterns and anomalies, enabling efficient and sustainable operations.
The scope of factory energy management covers air-conditioning, power, lighting, heater, air compressor, etc. Among these, air-conditioning units account for the highest energy consumption. AI-powered smart energy management system allows the user to monitor remotely, check equipment operational status in real time and run automatic energy saving controls based on the outdoor temperature. The system automatically enters energy saving mode during non-operational hours to avoid potential energy waste and achieve power optimization in 24-hour operating factories.
By connecting the outdoor air regulator to the independent air-conditioning unit inside building, the visitor count data is accurately analyzed by the smart energy saving system for traffic load prediction. The system then responds quickly based on the data collected in real time to adjust air-conditioning settings to accommodate mall traffic changes and outdoor weather and ensures efficient equipment operation and a pleasant shopping experience for all visitors.
