AI Renewable Energy Integration
The Problem
“Optimizing on-site renewables across diverse building portfolios”
Organizations face these key challenges:
1
Fragmented, inconsistent building data (utility intervals, BAS points, tenant submeters) makes accurate load profiling and renewable sizing difficult
2
Tariff complexity, demand charges, and changing incentive programs create ROI uncertainty and lead to conservative or mis-sized projects
3
Operational constraints (tenant comfort, equipment limits, interconnection/export caps) prevent simple rule-based controls from maximizing savings
Impact When Solved
8–18% reduction in portfolio electricity costs through optimized sizing and dispatch10–25% lower peak demand charges via predictive peak shaving and load shifting20–40% faster project screening and development by automating site suitability, incentive capture, and interconnection readiness