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Dwarak Varadharajan

solar power plant

Introducing PCI Forecaster: Automated, Reliable Forecasts for Wind, Solar, Load & Prices

July 16, 2025
/
Portfolio Optimization

Forecasting the grid has never been harder—or more essential. As renewables increase and markets grow more dynamic, power providers are under pressure to make faster, better-informed decisions about load, generation, and price exposure.

PCI Forecaster is built to meet that challenge head-on.

At its core, Forecaster delivers an automated, machine learning-based forecast for power load, solar, wind, and LMPs—designed for providers who need highly accurate results without the cost or complexity of managing multiple vendor feeds.

Automated forecast generation

For customers who need forecasts, PCI Forecaster provides fully automated, machine-learning-based predictions for:

  • Load and price forecasting

  • Solar forecasting

  • Wind forecasting

The platform includes a built-in weather data pipeline, supports models like HRRR and NAMNST, and can incorporate customer actuals to deliver even greater accuracy. Forecasts can be configured to update at any cadence you need, including multi-day, daily, and—soon—sub-hourly intervals.

Outage-aware modeling ensures forecast outputs remain useful even during generation constraints, drawing on PCI’s broader platform to reduce manual inputs and enhance forecasting precision.

Why customers are turning to PCI for forecasting

Many of our customers are looking to simplify their forecasting strategy with one reliable forecast that integrates seamlessly into operations.

Half a dozen early adopters are already using PCI Forecaster to generate trusted forecasts, reduce manual work, and feed directly into operational workflows. That includes forward-looking organizations who want to leave spreadsheets behind and adopt a more scalable, automated approach.

PCI Forecaster delivers:

  • End-to-end automation

  • Machine learning models tailored to power market forecasting

  • Integration with PCI’s Gen Manager and demand bid workflows

  • Forecasts that adapt to outages, changing weather, and market volatility

  • A scalable, modern alternative to spreadsheets or siloed vendor systems

Helping you select the best forecast for the job

While many customers want to consolidate around a single high-quality forecast, others still work with multiple sources. Whether you’re using third-party vendors, internally developed models, or both, Forecaster helps you evaluate performance and choose the best path forward.

Forecaster lets users import vendor forecasts, compare accuracy over time, and choose a final forecast strategy:

  • Unified dashboard for all forecasts (PCI and third-party)

  • Weighted averages or manual selection by load zone, interval, or time

  • Custom performance metrics for daily, 3-day, 7-day, or 30-day evaluations

  • Natively integrates with PCI’s suite to push the final forecast directly into demand bid workflows

Whether you’re refining your market submission or building confidence in vendor performance, Forecaster gives you the tools to make smarter, faster decisions.

Get started with a free forecast trial

We’re offering a free trial of PCI Forecaster for load, solar, wind, or price forecasting. Test forecast performance, validate workflows, and reduce risk — without long-term commitment. Reach out to start your trial.

Accurate. Automated. Actionable.

Whether you’re bidding into the market, balancing the grid, or planning around renewables, forecasting is no longer optional — it’s strategic.

PCI Forecaster gives you:

  • Reliable ML-based forecasts for all core asset types

  • Seamless integration into operational workflows

  • Optional tools for vendor comparison and forecast selection

  • The backing of a partner deeply rooted in energy market operations

Find out what better forecasting looks like. Start your free trial today.

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Picture of Dwarak Varadharajan

Dwarak Varadharajan

Dwaraknaath Varadharajan brings over four years of expertise in the energy industry and software development, having been an integral member of PCI since May 2019. Currently serving as the technical product manager for the Forecast Analytics team, Dwaraknaath leads initiatives to enhance our capabilities and drive strategic development of products. Prior to this role, he provided insights to the Southwest Power Pool (SPP) market settlement clients. Dwaraknaath’s skillset encompasses proficiency in multiple programming languages, generative AI, machine learning, business intelligence, and cloud software development. Dwaraknaath holds a master of science in electrical engineering with a specialized focus on power systems from North Carolina State University. Additionally, he pursued a minor in statistics, underscoring his commitment to an analytical approach to problem-solving.

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