BAKU, Azerbaijan, October 2. Samruk-Energy has
increased the accuracy of renewable power generation forecasts to
86% through an artificial intelligence-based system, Head of the
Digitalization and AI Office Aizek Zhupankhan said at AI & Digital
Bridge 2026 in Astana.
“Considering the growth in the share of renewable energy sources
- if I am not mistaken, from 7% to 15% by 2035 - high-quality
forecasting is becoming more important than ever, since the balance
of the entire energy system depends on it. At Samruk-Energy, we
managed to increase forecast accuracy to 86%. The project is
currently in pilot operation, after which we plan to scale it to
all our renewable energy facilities,” Zhupankhan said.
He noted that artificial intelligence is also being used by
Samruk-Energy for predictive diagnostics, computer vision, digital
twins and other applications aimed at improving the efficiency and
reliability of power generation.
Furthermore, Zhupankhan added that at Ekibastuz GRES-1,
Kazakhstan’s largest power plant, the company is connecting 56,000
sensors that generate almost 81 million signals per day. The data
is analyzed by an AI system to identify developing equipment
defects before failures occur, while a digital twin helps determine
optimal operating modes and maintenance timing.
Samruk-Energy is also using AI-powered video analytics at its
main facilities. According to Zhupankhan, the system analyzes data
from thousands of cameras in real time and detects safety
violations, including the absence of helmets and personal
protective equipment, access to hazardous areas, falls, smoke, and
fires.
Following the deployment of the system, the company reduced the
number of safety violations at its main facilities by 87%, he
said.
The company is also using drones for aerial monitoring,
including automated measurement of coal stocks at its thermal power
plants. The process, which previously took up to 10 days, can now
be completed in no more than 20 minutes, Zhupankhan said.
