Hitachi Energy advances predictability of energy investments forecasting with new AI-powered solution
Hitachi Energy has launched a new artificial intelligence (AI)-powered energy forecasting solution, Nostradamus AI. Developed using Hitachi Energy’s deep energy industry expertise, Nostradamus AI leverages the company’s 30 years of the most extensive energy market data to provide utilities, power system operators, energy producers, and traders with highly precise forecasts for common energy-specific use cases.
One of the first AI forecasting solutions purpose-built for the energy industry, Nostradamus AI is a modern AI engine that generates forecasts estimated to be over 20 percent more accurate than industry targets. The solution optimizes energy investments, trading strategies, and revenue opportunities, streamlines operational efficiencies and resource planning, and ensures transparency for regulatory compliance.
Data volumes have exploded as the grid has evolved. According to the IEA, the world’s wind turbines, for example, register more than 400 billion individual data points annually, and smart meters generate several thousand times more data points than the analog meters they are replacing. In addition, today’s energy market and grid are increasingly volatile due to variability introduced by renewable power generation. At the same time, electricity demand is growing unabated, and organizations are under pressure to meet energy security and decarbonization goals. Collectively, these market forces are driving organizations toward AI, which can process large, disparate data sets to significantly increase the accuracy of their forecasts, a move critical for managing energy markets and the grid in the energy transition.
An AI tool engineered for the energy industry
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.
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.
Serves as a standalone solution or as an integrated forecasting engine
While Nostradamus AI is available now as a standalone solution as part of the company’s Energy Portfolio Management (EPM) solutions, the forecasting engine capabilities also can be integrated into a range of Hitachi Energy’s digital solutions, including its Grid Edge Solutions and grid and generation management (Network Manager) solutions, among others.
Last Updated on 2 months by News Desk 1