Abnormal power consumption is closely related to system malfunction. Detecting a malfunctioning system is very important, as any malfunction or misconfiguration within the system can lead to negative effects such as fire.
Utilizing the collected power data for continuous monitoring of energy consumption, you detect abnormalities in energy consumption and take appropriate measures in a timely manner. This will improve the system's performance and helps avoid the company's financial losses.
Data | Data type | Content | Use mode |
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Input data | CSV | Location, device status, energy consumption, malfunction, etc. | API |
Output data | CSV | Abnormal energy use prediction | API |
Payment | Subscription method | Attached file upon application |
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Prepaid charge | Online | Customer data required for model creation |
Application procedure |
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Category | Price |
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API Setting | $1,800 ~ |
API Predicting | $0.002/row |