Energy has always had a position on sectors all over the world and continues to do so. Energy is of great importance for countries to progress in technology, to meet the basic needs of society and to develop. At the same time, social development and economic due to its high participation and interest in its growth, there is a parallel increase in energy demand. For this reason, states are in a race with each other to obtain energy resources and use these energy resources effectively. At the same time, energy they develop different policies and technologies in order to use them more efficiently and effectively. In today’s conditions, political, economic and technological developments that occur continuously, very quickly and unpredictably on a global scale cause major changes in energy as well as in all sectors. We are going through a period in which many changes in the field of energy, especially triggered by climate change and made possible by digitalization, are happening together and very quickly.

In this process triggered by climate change and zero-carbon living targets, energy markets are going through a very deep and radical structural change process. Digital technologies, defined as electronic tools, systems, devices and resources that can generate and store or process data, are increasingly transforming the energy sector. Digital technologies, which can be defined as all systems such as electronic tools, devices, resources that can produce data, store this data or process this data, and the parts that make up these systems, are causing the energy sector to gradually transform into different. In the digital transformation process of the energy sector, emerging digital technologies provide tremendous economic benefits. Today, digital technologies are handled from a high energy efficiency and environmentally friendly perspective, integrated with innovative and smart applications in industry, transportation, agriculture and domestic use. For a zero-carbon future, a radical change and transformation process is taking place in the three basic elements of energy: production, transmission and consumption. In this process, referred to as decarbonization, in addition to renewable energy, concepts such as electrification, digitalization and artificial intelligence are becoming widespread in the energy sector.

As a result of mass digitalization, concerns arise about high energy use and need, digital space spent on data storage and digital waste, and this causes the energy sector to face many challenges such as production difficulties, conversion, storage-transportation difficulties and usage-management difficulties. At this point, artificial intelligence is a revolution it’s coming out. Artificial intelligence contributes to accelerating the energy transformation and enables the interactive management of all the listed challenges. Some of the most important applications of artificial intelligence in the energy sector include improved data management and data analytics, improvement in the development of equipment and facilities, better equipment management, efficient waste storage and disposal, and more impressive personnel training. Three basic applications where artificial intelligence is used in this new digital ecosystem can be listed as follows:

1) Renewable energy production and forecasting,

2) Operation and optimization of the transmission and distribution network

3) It can be listed as distributed generation and energy demand management.

Artificial intelligence has emerged as a catalyst that manages an evolutionary change in the field of energy. Their versatile contributions range from streamlining energy distribution optimization and seamless integration of renewable energy sources to efficient energy use and predictive maintenance paradigms. As humanity continues to unlock the potential of artificial intelligence, collaborative synergies between technological pioneers, policy makers and energy stakeholders will be instrumental in fueling an accelerated transition towards a more energy efficient, sustainable future.

Here are the areas where artificial intelligence is used in today’s energy field:

Energy Efficiency Improvement:

Artificial intelligence is used to reduce energy consumption and increase efficiency. Smart buildings and smart home systems collect data through sensors and can optimize building systems by analyzing this data. By constantly monitoring and analyzing factors such as building temperature, lighting and ventilation, AI can automatically adjust these systems to save energy.

Renewable Energy Production and Distribution:

Artificial intelligence can be used systematically for the efficient use of renewable energy resources such as wind, sun and water. Artificial intelligence improving the efficiency of wind turbines and solar panels it can provide optimization for additionally, in energy distribution networks, artificial intelligence algorithms can be used to predict demand and optimize energy flow, ensuring that energy networks operate efficiently and effectively.

Smart and Management:

Thanks to the digital structures within the smart grid, the components that make up the system can make decisions on their own. Artificial intelligence can perform real-time data analysis to increase the security and efficiency of energy networks. It can detect existing anomalies, predict maintenance needs of power lines and ensure better performance of the network.

Energy Demand Forecast:

Energy demand may vary over time. Artificial intelligence can predict future energy demand by analyzing historical data. This can help energy producers and distributors manage their resources more effectively and efficiently and prevent unnecessary energy production.

These cases provide an overview of how artificial intelligence can be used in the energy field. These technologies can increase efficiency in the energy sector, help us use resources more wisely and lay the foundation for a more sustainable zero-carbon future.

Ultimately, AI is proving to be an invaluable tool in accelerating the future of renewable energy siting. The world is moving towards a cleaner and more sustainable future the role of artificial intelligence will become very important in order to make the right transition.

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