Every Megawatt You Miss Is Revenue You Don’t Recover.
Predict+ Makes Sure You Don’t Miss It.
Your Forecast Sees the Weather. It Doesn’t See Your Assets.
Independent power producers are caught between rising curtailment risk and tightening market penalties. Global renewable curtailment volumes increased 55% in 2024. In ERCOT, grid congestion forced 8 TWh of solar and wind curtailment — with West Texas solar assets losing 22% of potential output. In CAISO, 3.4 million MWh were curtailed, a 29% increase year-over-year. And capture prices for merchant solar and wind have fallen below the levelized cost of energy in many markets, making every missed megawatt more painful than ever.
The generation forecasting vendors most IPPs rely on — Solcast, SolarAnywhere, Reuniwatt — use satellite imagery and weather models to estimate what your assets should produce. But they can't see what's actually happening at the module level. Soiling, degradation, inverter clipping, partial shading, and equipment anomalies silently erode output by 3–10% across a typical portfolio. Your forecast says one thing. Your meter says another. That gap is your revenue leakage.
Curtailed solar & wind generation (CAISO + ERCOT, 2024)
curtailed in ERCOT in 2024 — 22% of West Texas renewable output
of lost solar project EBITDA is caused by underproduction
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Predict+ Solutions for Your IPP Operations
Predict+ serves 80% of IPPs in certain regions and manages over 600 GWh of energy under forecast — because accuracy is proven in production, not promised in pitch decks. Our AI models deliver up to 11% more accutrate generation forecasts across diverse solar and wind portfolios, with approximately 3% average deviation from actual output.
That accuracy is crisis-tested. Predict+ maintained performance through COVID-19 demand disruptions, armed-conflict grid instability, and extreme weather events — automatically recalibrating to changing conditions without manual intervention. When other forecasting platforms broke, Predict+ kept delivering.
Our models combine multi-source NWP weather ensembles, satellite irradiance data, and historical performance analytics. For assets equipped with Tigo MLPE, Predict+ also ingests real device-level telemetry — adding soiling, degradation, and equipment condition data that satellite-only forecasters miss. But even without Tigo hardware on-site, Predict+ outperforms through superior AI methodology and operational resilience.
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How Predict+ Powers IPP Operations
From day-ahead scheduling to portfolio-wide revenue optimization — every capability is built to close the gap between forecast and actual.
Maximize Revenue with Accurate Generation Forecasts
97.5% generation forecast accuracy built on real device-level telemetry.
Reduce Curtailment & Imbalance Penalties
Structurally more accurate nominations that reduce imbalance and curtailment exposure.
Optimize Day-Ahead & Intraday Scheduling
Hourly-refreshing forecasts for tighter nominations and better real-time positioning.
Manage Portfolio Performance Across Assets
Fleet-level portfolio views with forecast-vs-actual performance backed by real production data.
Support PPA Performance & Offtaker Confidence
P10/P50/P90 production estimates and audit-ready PPA performance tracking.
Detect Degradation & Performance Anomalies
Module-level intelligence on degradation, soiling, and equipment anomalies for O&M prioritization.
Enterprise-grade security
Your forecasting data is protected by enterprise-grade security infrastructure. Predict+ is built on a zero-trust architecture with end-to-end encryption, role-based access controls, and continuous monitoring — so your energy data stays yours.
Certified information security management
Audit in progress — on track for 2026
How we work together
Rapid validation and implementation so you are up and running as quickly and seamlessly as possible.
Discovery
Align on use cases, forecast horizons, stakeholders, and what success means for your organization.
Data
Connect sources — smart meters, SCADA, weather APIs, market feeds — validate quality, and establish repeatable pipelines.
Backtest
Run parallel validation against your historical data to demonstrate accuracy and fit before expanding scope.
Go-Live
Operational rollout with customized models tuned to your portfolio, with continuous monitoring from day one.
Optimization
Ongoing accuracy tuning for seasonal patterns, market changes, and evolving load profiles. Regular reviews to expand use cases.