Development of an AI Solution for Hitachi Energy with IT Specialist Support

Hitachy Energy Laptop Mockup Case study illustration

Project at a glance

Client: Hitachi EnergyIndustry: Energy / UtilitiesService:Dedicated TeamTechnologies: .NET / C# / Azure / Python / Kubernetes

Edge One Solutions supported Hitachi Energy by providing IT specialists responsible for the development of Nostradamus AI — an advanced solution combining data science, machine learning, and artificial intelligence to deliver accurate forecasts for the energy sector.

The solution enables forecasting of power system load, wholesale energy prices, solar PV generation, and wind generation. By using reusable code blocks, APIs, consistent data formatting, accelerated processing, and data cleansing mechanisms, Nostradamus AI supports the creation of comprehensive machine learning pipelines for utilities, energy traders, and power operators.

Challenge

The energy sector faces price volatility, growing demand dynamics, and significant changes in energy supply and production.
For energy companies, this creates a need for more precise forecasting that helps increase revenue, reduce costs, plan demand more effectively, and improve service reliability.
The key challenge was to use advanced data science and machine learning techniques in a way that accelerates access to valuable insights and supports data-driven decisions.
Scope of work by Edge One Solutions

Edge One Solutions supported Hitachi Energy by providing IT specialists responsible for the development of an AI solution for the energy sector.
The scope of support included the development of components related to data analytics, machine learning, data processing, data cleaning, and the preparation of elements supporting machine learning pipelines.
The team worked on a solution supporting the forecasting of system loads, wholesale prices, and the amount of energy generated from photovoltaic and wind sources.
Solution

The project involved the development of Nostradamus AI, a solution combining data analytics, machine learning, artificial intelligence, and Hitachi Energy’s domain expertise.
The product supports the forecasting of system loads, wholesale prices, and the amount of energy generated by photovoltaic and wind installations.
The solution uses reusable code blocks, APIs, consistent formatting, and accelerated data processing and cleaning, supporting the development of comprehensive machine learning pipelines.
Project significance for energy and AI

In the energy sector, forecast accuracy has a direct impact on operational planning, costs, service reliability, and commercial decisions.
The Hitachi Energy project shows how AI and machine learning solutions can support energy companies in analyzing variable data, predicting demand, and estimating future energy production from renewable sources.
For energy companies, similar solutions can help accelerate decision-making, make better use of data, and increase control over processes dependent on forecasting.