About PowerIntel

More reliable power market modeling for a cleaner, more efficient power grid.

Legacy Power Modeling and Forecasting Tools Are Insufficient to Meet Today’s Needs

The power market is experiencing a renaissance driven by surging demand and deregulation coupled with a broader landscape of fuels, generation assets and technology innovation. As a result, gone are the days when you could reliably forecast power market load demand and pricing using forward curves extrapolated from internally developed or third-party models and forecast tables. Today’s power market forecasts demand a model that encompasses all the physical generation and transmission assets in your designated service area with quarterly forecast updates that reflect any changes in infrastructure, regulatory policy or supply/demand that could impact asset valuation, profitability or risk. Recognizing this dilemma, PowerIntel was formed through the efforts of two of the Energy Industry’s leading economic consulting and energy market modeling/simulation companies. The highly-regarded principals of these two organizations recognized the need for stakeholders to have access to the most timely, granular, reliable and transparent investment grade data to make informed decisions. The result has been the development of PowerIntel.

PowerIntel – A Better Approach to Economic and Environmental Forecasting

PowerIntel™ provides a SaaS data service designed for power buyers, sellers, investors, generation asset owners and operators. PowerIntel helps these stakeholders reduce risk, increase profits, determine the cost of meeting GHG targets by producing more granular, transparent and investment-grade price, emissions and asset valuation forecasts. Unlike legacy forecasting services, PowerIntel is unique in its use of a physical model for each energy market to conduct both expansion planning and production forecasts, including both Locational Marginal Prices (LMP) and Locational Marginal Emission Rates (LMERs). PowerIntel’s expansion planning modelling projects the generation make up of each market over the time frame of concern with forecasts that are updated quarterly.