Tigo Energy has improved features on its Predict+ platform, now offering integrated real-time spot market pricing for ISO customers in the United States. Predict+ provides utilities with insights into grid demand, renewable generation and energy market dynamics, enhancing the precision, scalability and robustness of energy forecasting to up to 97.5% accuracy through machine learning and artificial intelligence, the company says. For energy providers, Predict+ helps streamline operations, reduce volatility and maximize performance.
Predict+ empowers utility operators to adapt to real-world demand challenges when balancing renewable and baseload generation sources, particularly during extreme weather events and market disruptions. On the demand side, with smart meter integration, Predict+ models each meter individually and performs extensive calculations on actual, historical and average data to accurately predict usage patterns. The new real-time energy spot market pricing integration now joins the four primary functional domains within Predict+, including Market Insights, Customer Insights, Profit Analysis and Regulatory Support.
“Our retail energy business depends on highly accurate, real-time data from a wide range of sources, and Predict+ consistently delivers,” said Khristian Camacho, Vice President of Pricing and Supply at CPV Retail, an affiliate of Competitive Power Ventures (CPV). “When entering new markets, we’ve leveraged Predict+ to better understand demand and pricing dynamics for bid placement, real-time settlements, and precise day-ahead forecasting. These insights support our team when developing flexible, tailored strategies that help customers manage their energy costs and capitalize on evolving market conditions.”
In February of 2025, Tigo announced that the Predict+ platform had grown to 140,000 meters under management over the three years since its founding, covering approximately 600 GWh of energy. That number has more than doubled in the fourteen months since the first announcement, and now includes 365,000 meters under management.
“Predict+ brings actionable energy intelligence and load forecasting accuracy onto a single pane of glass, with data intervals ranging from by-the-minute to daily, monthly, and annually,” said Archie Roboostoff, vice president of software at Tigo. “For customers like CPV, the platform goes beyond day-to-day weather forecasting by incorporating factors like holidays and building types to create demand profiles, and integrating those data with top-down, big-picture forecasts.”
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