Utility-Scale Energy Storage
Grid-Strength Intelligence for the Renewable Era

Preksha’s fleet management platform optimizes 100MW+ battery farms through AI-driven cycle planning, degradation buffering, and market-driven dispatch strategies.

The Industry Challenge
The $23B Problem Hidden in Grid Batteries

Utility-scale storage is projected to grow 15x by 2030, but most operators lack tools to maximize ROI across complex charge-discharge cycles.

Degradation Dilemma: Every 1% capacity fade erases $140k/year from 100MW systems³
Market Blindness: 68% of arbitrage cycles miss peak pricing due to slow response
Safety Scaling: Thermal risks multiply in multi-MWh installations
Reactive Balancing: Manual SOC adjustments lag behind grid frequency needs
Fleet Fragmentation: Disparate systems prevent unified performance analytics
Relatability & Transition:

The path to profitability starts with granular visibility. Preksha’s fleet intelligence turns technical metrics into actionable market strategies – because every megawatt-hour should work smarter, not harder.

11% higher revenue through price-driven cycle optimization (Aspirational)
0.02% frequency deviation in lab-simulated grid balancing tests
9x faster anomaly detection vs. SCADA systems
7K+
Number Of Batteries
2Gwh
Energy Managed
730K ltr/yr
Fossil Fuel Saved
1.06K tn/yr
CO₂ Emissions Avoided
2K +
Number of Buses/Vehicles
Preksha’s Solution
From Megawatts to Megaprofit

Preksha treats utility-scale storage as dynamic assets, not static infrastructure – aligning technical limits with market opportunities.

Cycle Economics Engine

Model revenue impact of each charge/discharge cycle

Fleet Health Benchmarking

Compare degradation rates across battery blocks/clusters

Grid Sync Algorithms

Auto-adjust SOC to stabilize frequency during renewable dips

Risk Buffering

Reserve capacity buffers based on cell-level fade projections

Why_transit_companies_trust_preksha

What Preksha Delivers for Grid Operators

When your storage assets must serve both grid stability and shareholder returns, compromise isn’t an option.

Revenue Maximization Time market participation using cycle life vs. price forecasts
Proactive Degradation Control Slow capacity fade through adaptive charge curves
Safety at Scale Detect thermal anomalies across 10,000+ parallel cells
Regulatory Confidence Document RFC/FERC compliance through automated reporting
Unlock Your Storage Fleet’s Hidden Value

Schedule a workflow analysis to discover:
Untapped revenue in current cycling patterns.
Fleet-wide health hotspots degrading profits.
Regulatory exposure points in reporting.

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