ENTICE 3.0

The solution could include:

• Non-lithium chemistries (e.g., sodium-ion, zinc-based, flow batteries, metal-air) suited for DT-level deployment
• System designs that meet safety, cycle life, footprint, and operational requirements for DT-connected applications
• Integration architecture enabling seamless operation with DRE, grid signals, and coordinated BESS fleets
• Cost and performance validation frameworks to compare with lithium-ion alternatives under real-world conditions
• Demonstrating pathways for scaling, cost reduction, and improved performance
• parameters, showing how unit economics and key operational metrics (efficiency, cycle life, response times, availability) strengthen as project size and deployment volumes increase 

Technical Readiness Requirement

Solutions must have:

• Field-demonstrated prototypes (TRL 6 or higher) for the core chemistry + system integration
• Ability to deploy a minimum viable operational unit at DT level for ENTICE pilot sites
• Prior validation of safety, thermal stability, cycle life, and footprint suitability for DT-connected use

The platform should deliver integrated forecasts of:

1. Distributed Renewable Energy (DRE) Generation
   •  Rooftop solar systems
   • Decentralized solar plants (e.g., KUSUM feeders)
2. Net Grid Demand
   • The actual demand to be scheduled by the DISCOM at a Sub-station after accounting for DRE generation By combining these components, the solution should produce an accurate estimation of the resulting net grid demand at DISCOM or state level.The proposed system must integrate high-resolution, physics-based weather intelligence with advanced machine learning and hybrid physical modeling approaches to capture micro-climate variations (temperature, solar radiation, humidity, etc.) and their dynamic impact on both supply and demand. The solution should deliver reliable forecasts across multiple time horizons, enabling improved power procurement planning, reduced DSM penalties, and enhanced grid stability.