An AI tool engineered for the energy industry

Nostradamus AI, built specifically for the energy industry using Hitachi Energy’s domain expertise, combines grid-performance data, market forecasts, and advanced asset monitoring underpinned by machine learning and other data science best practices.

The solution is a configurable, predictive analytics tool that puts the power in the hands of investors, operators, developers, and traders. Users can plug their owned and third-party data and unique parameters into Nostradamus AI’s pre-tuned, off-the-shelf models to generate accurate, customized energy-specific forecasts – called pipelines – for system load, wind generation, solar generation, market pricing, and more. Nostradamus AI creates regression-style forecasts that make it easier for users to interpret and explain their forecasts and make better-informed business decisions.

Solution built on cloud-native, agnostic, and composable architecture

Hitachi Energy Nostradamus AI is a cloud-native solution that can scale with ease from a single forecast to more than 100,000 forecasts. With users’ future forecasting needs in mind, the AI engine can, for example, generate predictions for the renewable generation of a single wind turbine and solar farm or thousands of different load points.

In addition, Nostradamus AI is algorithm-agnostic and today supports several of the highest-performing AI models. It is built with a composable architecture, allowing organizations to use their existing application programming interface (API) endpoints to speed and scale development, and is easy to automate and integrate with users’ systems.

“Hitachi Energy’s new solution integrates with customer data through its own AI energy product,” said Maryam Akram, research principal at Chartis Research. “Moreover, as well as extensive forecasting tools and application design, which support and guide customers’ use of machine learning models (including state-of-the-art techniques), Hitachi Energy’s solution transparently manages each stage of the model lifecycle, combining energy domain expertise with an effective machine learning strategy.”

Today’s outdated forecasting methods fall short

Too often, today’s outdated forecasting models are limited in functionality and not tailored for the energy industry. These forecasting models rely on labor-intensive, costly, manual processing and fail to consolidate the vast amounts of data that energy traders and analysts require for informed decision-making. They also lack the flexibility to easily incorporate critical energy industry inputs, such as asset performance predictions, price forecasts, and risk mitigation recommendations.

Nostradamus AI was developed to bridge existing AI and forecasting solutions’ capabilities while providing a platform for scale and future growth.