Advanced artificial intelligence for energy storage siting, valuation, and operational optimization
AI analyzes grid stress, incentives, and market data to recommend optimal deployment locations
Machine learning models provide real-time asset valuations based on multiple revenue streams
Continuous analysis of asset performance with anomaly detection and optimization recommendations
Aggregated insights from anonymized fleet data to improve industry-wide performance
Data Aggregation
Combines grid topology, load forecasts, renewable generation, and land use data
Multi-Factor Analysis
Evaluates revenue potential, grid value, permitting complexity, and community impact
Optimization
Ranks locations by configurable objectives (revenue, resilience, emissions reduction)