AI has the capacity to compress and analyze large data sets that can help monitor and interpret the data produced by energy industries to optimize energy consumption. Energy efficiency, one of the Sustainable Development Goals, must be treated seriously. AI-powered energy efficiency programs monitor energy use, provide a framework for intelligent forecasting, and regulate usage during peak hours. When using model-based predictive control, it is possible to achieve an improvement in energy efficiency from 10.2% to 40%.
Predictive analysis and machine learning can present up-to-date predictions. Consequently, these estimates are used to design and implement energy efficiency plans at the company, municipality or state level. Through an exhaustive analysis of experimental data, the universal workflow can confirm energy cost savings of 35% in the building; 25% energy savings in heating, ventilation and air conditioning equipment; 50% energy savings in the artificial lighting system; a reduction of up to 70% in information and communication transfer power; a continuous production of 30% of the maximum power of the renewable energy device to the microgrid; and a 20% reduction in demand for energy in the factory.
Artificial intelligence
can save a large amount of energy and prevent the expulsion of a substantial amount of carbon.Let's talk more about artificial intelligence in energy, the benefits it can bring and how energy and artificial intelligence go hand in hand in the modern world. In the energy and artificial intelligence sector, digital twins help to study wind turbines and power generation facilities. It could also help engineers improve the efficiency of the motors, turbines, actuators, robots and other mechanical products on which the world depends. Thanks to artificial intelligence in energy and machine learning, it is now possible to forecast and predict the best circumstances for a precise integration of renewable energies.
Artificial intelligence in energy and public services can take many forms, but all have the universal objective of optimizing the sector for contemporary challenges. The combination of energy and artificial intelligence creates an enormous variety of opportunities for the industry. The gradual implementation of artificial intelligence in energy networks, renewable energy and decentralized networks can optimize energy use and improve customer satisfaction. Artificial intelligence in the energy sector evaluates the given environment and helps to take the necessary measures to maximize the potential of the industry.
Therefore, AI in the energy sector can reduce costs, improve transparency and introduce sustainable practices. Some of the possible applications of Artificial Intelligence in energy include, among others, intelligent networks, data digitalization, forecasting and more advanced resource management. Some of these services include artificial intelligence (AI), machine learning (ML) and data science to digitize the industry. In general, the AI-powered intelligent network helps provide more accurate forecasts, shows greater resilience and greater security for the network.
