Why SFE Chose rebase.energy
A CONVERSATION WITH

Ole Marius Gloppestad
Business System Developer at SFE
It’s the data flow, the ease of use and the high level of support.
– SFE on working with rebase.energy
SFE manages a large and varied consumption portfolio and depends on accurate load forecasts to operate efficiently. With rebase.energy, the company uses an automated and transparent setup that supports its day-to-day decisions.
SFE is a major renewable producer on the Norwegian west coast, generating electricity from 27 hydropower plants and 1 wind farm. The company is also a BRP for a nationwide retail portfolio across Norway’s five price areas. This requires precise consumption forecasting and a reliable flow of operational data between systems.
Before working with rebase.energy, the forecasting process presented recurring challenges.
“The biggest issue was the data flow between us and the third-party software. The system was outdated and a bit slow,” says Ole Marius Gloppestad, Business System Developer at SFE.
SFE was not actively looking for a new provider when they first met rebase.energy by chance at an industry seminar. But the meeting led to further discussions and a product demonstration that stood out.
They had a modern solution and a data approach that was appealing to us.
“We really liked the team. They had a modern solution and a data approach that was appealing to us,” Ole Marius says. SFE tested rebase.energy for three to four months before moving the solution into production. They have now worked together for more than a year.
The collaboration has been smooth from the start.
“We are very happy and satisfied. They help us with our problems and deliver high-quality products,” he says. “They are easy to reach and quick to respond.”
Today, SFE uses rebase.energy to forecast aggregated load for retailers and their end customers. The workflow is fully integrated.
“We export historical load time series to rebase.energy. They run the machine-learning models and deliver a new forecast every morning through the API.”
The platform also offers visual tools such as weather charts, which SFE uses to support daily decision-making. But the automation and transparency of the core forecasting process remain the key strengths.
One of the biggest improvements has been handling dynamic consumption portfolios.
“Our consumption portfolios are not stable. They can change from day to day,” Ole Marius explains. “rebase.energy developed an API that lets us update portfolio changes directly. This was manual before, and they were very keen on helping us find a better solution.”
The impact on market operations has been clear.
The whole process from delivering data to receiving forecasts has been improved many times.
“It’s much more transparent and efficient for us to do the actual spot billing on the consumption part,” he says. “The whole process from delivering data to receiving forecasts has been improved many times.”
SFE now has a streamlined workflow, reduced manual intervention and high confidence in the forecasts.
“We have very high confidence in the forecasts – and the transparency in the model,” Ole Marius says.
According to Ole Marius, the collaboration has worked well and continues to do so as they enter their second year. He says he would recommend the platform, especially because of the support and flexibility.
“Yes, absolutely. It’s the data flow, the ease of use and the high level of support,” he says. “Their business model allows ad hoc requests without having to pay for every ticket. We really feel that they want to help us.”
Their business model allows ad hoc requests without having to pay for every ticket. We really feel that they want to help us.