Intelligent Build.tech Issue 19 | Page 53

CLOUD SYSTEMS

Hitachi Energy advances predictability of energy investments forecasting with new AI-powered solution

energy domain expertise and data science background to create an AI engine that can significantly accelerate the ability of users to make impactful decisions with their energy data , deliver improved profitability across their businesses , and scale as the grid evolves .”
An AI tool engineered for the energy industry

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 can generate forecasts estimated to be over 20 % more accurate than some industry targets . The solution optimises 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 metres generate several thousand times more data points than the analogue metres 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 organisations are under pressure to meet energy security and decarbonisation goals . Collectively , these market forces are driving organisations 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 .
“ Advanced forecasting is integral to effectively manage a company ’ s energy portfolio strategy , allowing operators and analysts to make informed decisions across their businesses quickly ,” said Massimo Danieli , Managing Director , Business Unit Grid Automation for Hitachi Energy . “ We ’ ve applied our extensive
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 parametres into Nostradamus AI ’ s pre-tuned , off-theshelf models to generate accurate , customised 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 algorithmagnostic and today supports several of the highest performing AI models . It is built with a composable architecture , allowing organisations 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 stateof-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 .” �
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