e-GUIDE: Electricity Consumption Prediction API
e-GUIDE helps energy companies and grid operators estimate building-level electricity demand. It is designed for teams performing infrastructure planning in developing regions.
At a glance
- Category
- Data & Analytics
- Best for
- Energy companies, Utilities, Grid operators, Infrastructure planners
- Pricing
- The API is freely available to the public, though users must request an API key via email.
- Key use cases
- Electricity Infrastructure Planning, Grid Stability Assessment, Residential Load Prediction, Agricultural Energy Planning
- Official website
- eguide.io
e-GUIDE is a data analytics tool designed for electricity infrastructure planning in developing economies. It provides an API for consumption growth predictions for individual residences and businesses, as well as estimates on grid stability.
The tool is designed for energy companies, utilities, and grid operators working in sub-Saharan Africa and other developing regions. By using Convolutional Neural Networks (CNNs) trained on satellite imagery and utility datasets, it supports planning processes where historical growth data may be limited.
Buyers should confirm current coverage. While the system provides residential data for Kenya, users should verify availability for other regions such as Uganda and Rwanda.
As a technical API, users will need a development environment or a technical team to integrate the data into their existing energy planning workflows.
Key Features
Provides building-level electricity consumption estimates for residences and businesses.
Uses Convolutional Neural Networks trained with satellite imagery and utility customer data to predict energy use.
Provides wide-area, long-term estimates of grid stability using nighttime illumination satellite data.
Uses satellite imagery and data sources to map expected consumption levels across specific grid cells.
Use Cases
Supports the planning of power lines or transformers by estimating potential building-level demand.
Using nighttime illumination data to estimate reliability across sub-Saharan Africa and South/Southeast Asia.
Predicting electricity consumption levels for residential customers, specifically within Kenya.
Identifying irrigation clusters via satellite imagery to help plan energy access for agricultural use.
Best For
Pricing
The API is freely available to the public, though users must request an API key via email.
FAQ
It predicts building-level electricity consumption and provides estimates of grid stability using satellite imagery and deep learning models.
It initially covers residential consumption in Kenya, with plans for Uganda, Rwanda, and broader coverage across Africa, sub-Saharan Africa, and South/Southeast Asia.
The API is free, but users must contact the e-GUIDE team via email to request an API key.
Source category: Data & Analytics
Source subcategory: Analytics & Reporting
