Description
Predict energy demand trends based on data sources ranging from sensors to social media
Benefits & ROI
0.5
Linked Case Studies
Case Study
St. Vincent''s Hospital
St. Vincent''s Hospital achieves 20% in energy savings by implementing a predictive energy control system for its HVAC from BuildingIQ
Case Study
Australian Renewable Energy Agency
Australian Renewable Energy Agency improved accuracy of solar energy predictions by 31% using machine learning methods based on a distributed network
Case Study
Verv Trading Platform
Verv plans to predict renewable energy generation and usage for its p2p marketplace using deep learning
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Source: mckinsey.com · Editor: original-sdg