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Go inside two energy companies to see what cost-benefit analysis looks like when assessing a renewables project.
As the energy transition speeds up, NextEra Energy, Fingrid rely on location intelligence to share insight and gain real-time view of operations.
Aegean Energy Group’s Maps to Megawatts solution helps alternative energy developers gather and analyze field data so they can be strategic.
For utilities committed to decarbonization, location-based demographic data helps identify and predict areas where clean energy is in demand.
Hydrogen could help fuel the world economy. Green hydrogen is preferred, but costlier. Will energy companies make the math work?
The Prediction of Worldwide Renewable Energy Resource (POWER) team at NASA provides data that aids the transition to clean energy.
Targeting the Right Consumers with Map-Based Demographic Visualization
To grow the clean energy grid, one nonprofit has a plan to bury high-voltage transmission lines along highways, guided by GIS technology.
A deep learning model in ArcGIS Living Atlas of the World automatically detects parking lots that are ideal for solar panel installation.
In a time of economic uncertainty, GIS technology gives executives the context and analysis they need to accelerate workflows.
Researchers integrate relational databases with GIS technology to show geothermal energy potential in North America’s Great Basin region.