The Machine Learning Algorithms Facilitating the Energy Industry

In Columns, Technology

The energy industry is the industry liable for producing and supplying energy. It is the most important sector of our society rendering a helpful hand to every industry as the use of energy is the key for society to develop itself and accommodate its environment. The very fundamental use of energy includes the heat we use, lighting, the electricity we use and many other things which definitely bring us to the conclusion that energy is the most basic need for each and every individual. Therefore it is very essential to work towards the sustainable generation and use of energy resources. Categorizing the energy, there are two types of energy, the one is renewable energy and the other is non-renewable energy.

Renewable energy accounts for those type of energy which are not limited, they are extensively available and can be used in the diversified form, unlike non-renewable energy there is no awe of these energy resources getting completely exhausted. The common examples of renewable energy resources include wind energy, tidal energy, solar energy, ocean energy, bioenergy, and geothermal energy. The non-renewable type of energy embraces those energies which are not limited and will get completely vanished after a certain amount of use. These sources are majorly in practice and many of them are on the verge of extinction. These are also responsible for generating a large amount of polluting agent thereby damaging the environment. In this technical era, new technologies are evolving at a very fast rate and are influencing the growth rate of each and every industry. Technology like machine learning is leaving a very large impact on the energy sector. Machine learning is a subset of artificial intelligence (AI) that centers on the autonomous working of computer programs without any human intervention. It includes self-assessment of data and learning from past experience in order to provide results without any explicit programming methods. its main purpose is to make computers learn automatically without any human assistance.

Machine learning enablement in the energy sector will lead to predicting the future if we get to know the amount of energy which could be produced in the next 48 hours it will be very propitious in pre deciding and pre-arranging the process which will lead to the transition of this energy. A monthly estimation could be generated which will help in deciding the amount of energy produced and the requirement. Maintaining of demand and supply will turn very easy which will, in turn, lead to reduced use of the non-renewable source of energy and thus preventing any further damage to our environment.

The machine learning algorithms along with artificial intelligence in the energy industry will lead to properly manage the machine processing and operation. Manually working with large scale machinery is not possible therefore it is necessary to incorporate these technological algorithms with the renewable energy sector. The sensors are installed which alarms about any technical glitch and enables us to quickly resolve the issue.

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