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Smart Energy Insight
Building Energy Group Management and Cost Management Solution
Analyze 15-minute interval power consumption to identify optimal rate plans and reduce energy costs without equipment investment. All you need is a 10-digit KEPCO customer number to get started.
Identifies cost reduction opportunities through seven energy savings algorithms.
Historical power consumption pattern analysis
Rate plan optimization
Contract demand adjustment
Peak demand optimization
Power factor management
Equipment efficiency improvement
Renewable energy (PV)
Examines seven dimensions: historical consumption patterns, rate plans, contract demand, peak demand, power factor, equipment efficiency, and renewable energy.
Provides real-time data visualization, correlation graphs, and energy consumption and cost monitoring.
Automatically generates reports with energy diagnostic results and cost reduction solutions.
Delivers predictive cost reduction recommendations based on historical energy consumption, outdoor temperature, and time-of-use analysis.
Algorithmically calculates and presents specific energy and cost savings opportunities.
Displays a side-by-side comparison of current electricity costs versus projected costs after optimization.
Analysis begins with just a 10-digit KEPCO customer number and data sharing consent.
13 SMEs nationwide
Annual savings of 1,508.3 MWh and KRW 150M
Conducted an AI-driven energy efficiency optimization consortium with KEPCO (2020-2022), covering 13 small and medium enterprises.
Seoul
8% annual savings without equipment investment
Analysis with minimal data revealed potential annual savings of approximately KRW 6.84M (8%) without equipment replacement, and up to 24.2% with targeted equipment upgrades.
Incheon
12% reduction through contract demand adjustment
Achieved a 12% reduction in total electricity costs — KRW 6.24M in annual savings — solely by adjusting contract demand from 6,250 kW to 3,750 kW, with no capital expenditure.
Gyeonggi Province
AI charge/discharge algorithm deployed
Implemented automated monitoring and cost reduction analysis reporting for ESS installations, with an AI-based optimal charge/discharge algorithm currently in operation.
Government R&D, commercialization, and demonstration project history (15 projects)
Start reducing energy costs without any hardware investment.