The continuous growth of the world's population and the rising cost of fossil fuels make energy saving one of the main concerns of governments. While still meeting the needs of citizens, the control of energy production and expenditure, together with environmental care, is becoming very necessary.
New technologies and artificial intelligence are great allies of energy efficiency. The collection of data and information provided by artificial intelligence applications, such as the Internet of ThingsThe new systems allow to automate processes and to make predictions that avoid energy waste.
According to a study by the international consulting firm Gartner, users value saving time and money as the main benefit of new technologies. Applications based on artificial intelligence can help us in our purchases of food, fuel or everyday tasks.
The applications of AI in energy saving are many and varied. Both in the smart buildings as in the smart cities or in industry, their use contributes to the well-being of citizens and workers by creating more welcoming, efficient and user-friendly environments.
Today, collecting and studying data is a benefit for any organization regardless of the industry in which it operates. The knowledge production The use of these technologies is highly interesting and one of its uses is to avoid energy waste. This is achieved by means of an AI subsection called Data Science. Through interconnected areas of statistics, scientific methods and data analysis, this science creates wisdom. The automatic learning is another of the departments of AI, from this collected data offers Artificial Intelligence applications.
The collection and exploitation of data reveals trends and information that companies can use to make better decisions and create more innovative products and services. An added value for organizations that achieve their objectives by significantly reducing energy expenditure.
This science enables the creation of demand prediction models that reveal how much is necessary to produce based on demand, thus adjusting supply to market needs. The variables most used by artificial intelligence applications are the price of energy (electricity, gas, oil), meteorology or consumption levels. In this way, it is possible to optimize production processes to reduce spending.
Every day more and more companies are using advanced software or contracting solutions that involve AI in their applications. In the business environment, an increase of almost 30% of business volume is expected around artificial intelligence applications. These are applied to any stratum and function as tools for warehouse management, fault detection and predictive maintenance of machinery, control mechanisms, cooling and heating systems, etc. They are applied in buildings, shopping centers, hospitals or private companies.
An example of the achievement of the economy based on this type of methods in Spain is that of Telefonica. By means of artificial intelligence and machine learning the company has been a finalist in the Mobile World Congress (MWC) Barcelona 2022 Glomo awards, in the category of Best Mobile Innovation for Climate Action.
The project, developed in partnership with Ericsson and called Radio Verde - Intelligent Software Solution for Energy Optimizationconsisted of installing software over the mobile network. This software has the functionality to turn off certain electrical components that are not needed in low traffic situations. With this measure, the telephone company has achieved a saving of 26% of its energy use in these situations.
Artificial intelligence applied to energy not only brings as an advantage energy efficiency, reduction of consumption, and therefore energy savings.emissions, but also reduces CO2 and other greenhouse gas emissions, which is beneficial for the population as a whole.
Artificial Intelligence can be a great ally for organizations that consider climate change as a priority and help achieve zero emissions, a goal contemplated in many of the world's markets.
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