Artificial intelligence can help optimize and manage the energy network in Iran and address concerns related to the imbalance of electricity and gas. Dr. Mohammad Anbari, a fellow and postdoctoral researcher in artificial intelligence, believes that the future of energy is not solely dependent on producing more electricity, but also on the smartest methods of production, storage, distribution, and consumption.
Increasing Electricity Demand and Existing Challenges
The growth of data centers, especially those created for training and running artificial intelligence models, has significantly increased electricity demand. The International Energy Agency predicts that global electricity consumption by data centers will nearly double by 2030, reaching about 950 terawatt-hours. Therefore, the question arises as to how the energy network should adapt to these changes.
Read more: HD Hyundai and BW LNG Build the First Three-Tank LNG Tankers
According to Dr. Anbari, artificial intelligence can be an efficient tool for managing this vast amount of energy. This technology can predict electricity consumption, estimate the production of solar and wind power plants, and identify equipment failures. These capabilities can help prevent energy crises and determine the appropriate time for repairs.
Artificial Intelligence as the Brain of the Energy Network
In a forward-looking approach, power plants will no longer just be a collection of turbines and generators. Instead, these systems will transform into a smart cyber-physical system that includes sensors, real-time data, machine learning, and predictive analytics. For example, artificial intelligence can detect small changes in sensor data and predict the likelihood of failure before it occurs.
This issue is particularly important for Iran, which faces challenges such as electricity and gas imbalances, aging infrastructure, and high energy consumption. Dr. Anbari emphasizes that the solution is not just to build more power plants, but to make the energy chain smarter. This means creating an artificial intelligence platform that can simultaneously analyze information from power plants, the electricity grid, large industries, and renewable resources.
Using such a system, it would be possible to identify the likelihood of electricity shortages before they occur and simulate various scenarios for decision-makers. Building a "digital twin" of the country's energy network, which simulates the network's behavior under different conditions, would be a more advanced step. This capability allows decision-makers to assess the effects of a decision on the entire network before implementing it.
If artificial intelligence can enter the core architecture of the country's energy, it can play a significant role in reducing waste, managing load, increasing power plant efficiency, and developing renewable energy. This technology requires electricity to continue its growth, but if properly utilized, it can become the brain of the network that produces and distributes this electricity.
Read more: The Director of Telecommunications in Semnan Province Emphasized the Development of Fiber Optics and Management of Excavations · Masoud Pezeshkian's Order for Remote Work of Offices Due to Fuel Shortages
