Algorithm Energy Aims to Revolutionize the Wind Power Industry
For Nils Nyström, data has always been the key to better decision-making. The Härnösand-based company Algorithm Energy sees a great opportunity to improve efficiency in wind power by providing operators and owners with better insights into their production.
"I have worked with control systems and know how important it is to break down data to make the right decisions. The wind power industry has enormous potential, but the lack of transparency in production means that many operators miss out on valuable energy," says Nils Nyström, Swedish co-owner and CEO of Algorithm Energy in Sweden.
With this in mind, he joined Algorithm Energy, a company whose software, AlgoAPM (Asset Performance Monitoring), gives wind farm owners full control over their facilities and helps them optimize energy production.
AlgoAPM extracts high-resolution, real-time data directly from wind turbines’ control systems and presents it in an industry-leading interface. This makes it possible to pinpoint exactly where energy losses occur—whether due to icing, worn-out blades, or inefficient energy transfer.
"We can scientifically distinguish different types of issues and provide our customers with a clear picture of what’s impacting their production. This enables them to act proactively and reduce their losses," explains Nils.
One of the industry’s biggest challenges is that wind farm owners often have less information than their suppliers. Algorithm Energy helps them take back control of their own data.
"Many operators have had to rely on suppliers to provide them with the right information. We give them the tools to analyze and understand what’s really happening in their facilities," says Nils.
Nils Nyström, Swedish co-owner and CEO of Algorithm Energy in Sweden.
Big Plans for Global Expansion
Algorithm Energy has a unique corporate structure with roots in both Sweden and Pakistan. Founder Saquib Saeed, a former wind farm owner, became frustrated by the lack of access to production data. That frustration led him to develop a system he wished he had himself.
"Saquib saw the need and started building the system three to four years ago. He also recognized Sweden’s potential and saw Härnösand as the perfect place to expand from," says Nils.
Founder Saquib Saeed developed a system in Pakistan based on the data he himself wished he had for his own wind turbines.
Today, the company has a back office with 23 employees in Pakistan, while Nils and Saquib run the Swedish operations. The company plans to hire one more person next year, but will maintain a lean and agile organization.
"We won’t be a large, staff-heavy company. One person per market is enough, and we’ll bring in local expertise as needed. That keeps us flexible and efficient," says Nils.
Expanding Into New Markets
Algorithm Energy already has paying customers in Pakistan and Turkey and works with Umeå Energi, Härnösands Energi, and Arise in Sweden. But their ambitions go far beyond that.
"We’ve started talks with customers in Germany, and we see major opportunities in Europe, the U.S., Brazil, and Australia. Within five years, we aim to have an established customer base in 75% of these markets," says Nils.
He also emphasizes the potential in optimizing existing wind farms.
"Even a small efficiency improvement of a few percentage points could mean an energy increase of 1.5–2 terawatt-hours in Sweden. That’s a massive amount of energy that can be unlocked through better insights and smarter decisions," he explains.
Game-Changing Pilot Projects
One of Algorithm Energy’s major successes has been a collaboration with SMHI to develop models that predict icing on turbine blades, minimizing downtime and maximizing output.
"Many wind farm owners are shocked when they realize how much energy they lose due to icing. By better predicting weather conditions, they can start blade heating in time and save huge amounts of energy," explains Nils.
Next up is an ambitious project with RISE, focused on optimizing wind farms by controlling turbines as a group rather than individually. This reduces turbulence between turbines and could increase production by 3–7% in existing wind farms.
"Getting customers to sign up as pilot sites has been easy. Our goal is to launch a new service called AlgoAWS (Active Wake Steering) in 2026. With this, we’ll go beyond just visualizing data—we’ll actively increase production with the help of machine intelligence," says Nils.
Despite being a relatively new player, Algorithm Energy has already positioned itself as a leader in the industry.
"We confidently say we’re the best among our competitors, and I stand by that. We approach the industry differently because we come from the customer side. Our development is closely tied to research institutions—our partners include SMHI, RISE, and NED University in Pakistan. We knew what was missing in the industry, and we’ve built a system that directly addresses those gaps," says Nils.
Caption: A wind turbine outside Holmsund equipped with Algorithm Energy’s system.