Estimating energy use is a necessary process in order to efficiently manage and distribute energy. By analyzing the relevant data from the past, factors affecting energy consumption such as date and time can be found, which can help in efficient management.
Hourly energy usage data for a specific period of time can be used to predict energy usage by date/time, or to find relationships between different factors affecting energy usage.
Data | Data type | Content | Use mode |
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Input data | CSV | Time, date, energy consumption, etc. | API |
Output data | CSV | Energy consumption 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 |