From Paradox to Progress A Net Positive AI Energy Framework 2025

AI-powered platform for energy forecasting and dispatch scheduling BOX 5 Challenge Rapid renewable growth strains grid reliability in industrial areas. Variable supply and demand make it difficult to achieve consistent, affordable clean energy without accurate short-term forecasting. Solution –Cloud platform to optimize energy use and manage distributed energy resources –AI-enabled forecasting of demand, generation and pricing –Improved dispatch scheduling, storage management and supply/demand balancing Impact Near-term impacts realized or anticipated (less than one year) –10–20% renewable utilization improvement –90–95% forecasting accuracy –95% storage utilization efficiencyFurther impacts realized or anticipated (more than one year) –5–10% peak demand reduction Reviewing the levers in action Use-based pricing models: Enables cost signals through energy-linked performance metrics and benchmarking Consumer dashboards: Real-time energy visibility and emissions tracking Model selection guidance: Recommends energy-efficient configurations and workload timing to optimize consumption Digital sobriety campaigns: Internal initiative, not in scope* Regulatory nudges: Aligns with ESG frameworks but not policy-driven* *See Table 4 for relevant “shape demand wisely” use case examples. From Paradox to Progress: A Net-Positive AI Energy Framework 20