COLLECT
PREDICT
DECIDE
CONTROL
AI Prediction
AI energy-demand prediction
Peak-demand management
Usage-pattern analysis
project title
Project Summary Description
We summarize Sebasa's latest news. You can check the details by clicking on the card.
AI-powered energy prediction and intelligent power control
create a more efficient standard for energy operations.
SEVASA is an energy technology company that predicts energy demand with AI and intelligently controls electrical loads across buildings and facilities.
We connect data collection, analysis, prediction, control and operation to distribute limited power where it is needed most.
We connect building, equipment and charging data in one flow.
Usage patterns and environmental factors reveal future demand.
Available power and priorities determine the best operating plan.
HVAC, lighting and EV charging loads are adjusted in real time.
SEVASA BECS predicts peak-demand risk with AI and automatically adjusts power use by equipment according to real-time grid conditions.
Instead of simply cutting power, it distributes the right amount to the right place.
AI energy-demand prediction
Peak-demand management
Usage-pattern analysis
Intelligent variable power control
Load coordination
Automated power allocation
Building energy management
EV charging infrastructure
Energy and charging SaaS
Energy data analytics
Efficiency consulting
Global technology partnerships
We Predict. We Control. We Optimize.
From technology transfer to products and field deployment,
SEVASA continues to set a new standard for energy technology.
We predict energy demand
and control power at the site.SEVASA connects building and EV charging data, calculates available power and adjusts each load according to operating conditions.
Estimate future power needs and peak timing in advance.
Determine the control order around essential equipment and operating conditions.
Adjust building, HVAC and charging loads within available power.
Review consumption and equipment status before and after control.
BECS understands the building's power flow and adjusts equipment before demand becomes concentrated.
Available building power is allocated automatically across vehicles charging at the same time.
More parking spaces can support charging, reducing the need to move to a dedicated bay. IPCS adjusts each charger based on building load and the number of connected vehicles.
Installation capacity and charging speed depend on electrical equipment, wiring, building demand and the number of vehicles charging at the same time.
SEVASA identifies adjustable loads, plans reductions and supports equipment control and performance verification.
SEVASA sets the control order around essential equipment and user conditions, then compares data before and after the event. Eligibility and compensation depend on resource, metering, communications and contract conditions.
Tell us about the building, power infrastructure and operating conditions. We will begin by reviewing the applicable scope.
With data-based prediction and control technology
Create a sustainable energy system.
Sebasa has power data analysis, EV charging operation, building energy management, and AI prediction technology as its core competencies.
We respond quickly and flexibly to various customer needs.
Based on real-time data and verifiable algorithms
We are continuously advancing technology to improve energy efficiency and optimize operations.
Recognition of technological capabilities such as patents and certifications for energy, IT, and manufacturing (30 types in total)
| division | Application number | Registration number | Invention name (Korean) | Invention details |
|---|---|---|---|---|
| patent | 10-2021-0021621 | Electric vehicle charging system | Slow charging system used to charge electric vehicles | |
| 10-2021-0107281 | 10-2450203 | Variable power control system for electric vehicle charging | A variable power control system that converts spare power to electric vehicle charging through monitoring of power usage and power distribution. | |
| 10-2010-0033436 | 10-1146005 | Precharging control device and method | Compare the potential difference between the charging voltage of the charging element and the battery voltage through an AD converter. | |
| 10-2011-0116797 | 10-1262297 | AC power supply device and method for electric vehicles | Control charging power based on battery remaining capacity (SoC) | |
| 10-2022-0125962 | 10-0125962 | Electric vehicle charging system and profitable charging method using variable power control | Electric vehicle charging and billing system and method, variable electric vehicle charging and billing system that uses the building's spare power, and profitable billing method | |
| 10-2023-0194447 | Intelligent variable power control system | Relates to an intelligent variable power control system and a device and method for integrated management of spare power for vehicle charging | ||
| 10-2023-0194222 | Variable control charging free zone system | Charging free zone system with variable power control for charging energy | ||
| 10-2024-0137309 | Peak power variable control device and method | System and method for predicting and controlling peak power of a building | ||
| brand | 40-2022-0009130 | 40-2080911 | People who change the world | Emblem: Class 09 (Charging devices for electric transport machines, etc.) |
| 40-2022-0184779 | Eplug | Designated products: Class 9 | ||
| 40-2022-0184785 | Iplug | Designated products: Class 9 | ||
| 40-2022-0184800 | Iplugstation | Designated products: Class 9 | ||
| 40-2022-0184812 | eplugstation | Designated products: Class 9 | ||
| design | 30-2022-0041264 | 30-1238789 | Charging terminal design for electric vehicles | Charging terminal design for electric vehicles |
| Certification name | Certification agency | Registration number |
|---|---|---|
| Certificate of compliance for broadcasting and communication equipment, etc. | National Radio Research Institute | R-R-9sb-SVS-C003-BOA |
| KOC Certification | Korea Institute of Machinery and Materials, Electrical and Electronics Testing & Research Institute | HH040202-24001 |
| ISO 9001 | GIC | 24-A-2809 Rev. 0 |
| factory registration certificate | Korea Industrial Complex Corporation | 411732024117306 |
| Venture business confirmation | Venture Business Confirmation Agency Association | 20220928030091 |
| Company-affiliated research institute | Korea Industrial Technology Promotion Association | 2020116548 |
| Mail order business report | Anyang city | 2023-Anyang Dongan-0594 |
| Certified test report | KCL | CU23-01560 |
| Technology grade confirmation (T4) | Nice D&B | NDB-2021-31-081035 |
| Excellent technology company certificate | Nice D&B | NDB-2021-31-081035 |
| Technical data deposit certificate | Large and Small Business Agricultural and Fishery Cooperation Foundation | 2024-02-08-2698 |
| Electricity Business Act Registration Certificate | Ministry of Commerce, Industry and Energy (Smart Grid Association) | No. 770 |
| Smart City Convergence Collaborative R&D Agreement Certificate | Smart City Association | SCIK 2024-0028 |
| Gyeonggi-do Promising Energy Company Certificate | Gyeonggi Province Economic and Science Promotion Agency | No. 2024-08 |
| Gyeonggi-do Promising Small and Medium Business Certificate | Gyeonggi Province Economic and Science Promotion Agency | No. 2024-120 |
Sebasa connects data collection, analysis, prediction, and control into one structure.
Build distributed systems and operating environments into stable and predictable operating systems.
The content will then be organized and reflected.
**BECS(Building Energy Control System)**energy use across buildings and facilities. Prediction/Analysisand stably control the equipment based on the results. integrated operating systemno see. It proactively manages power demand and cost fluctuations through real-time data and AI predictions, and maintains consistent performance despite changes in the operating environment.
BECS standardizes complex energy operations into a reliable structuredo.
