Artificial Intelligence & Energy Management

In this world of Globalisation and capitalism, countries and leaders are banking on big multinational corporations to help solve big problems like fight climate change, economic crisis, and whatnot and the corporates are banking on what? Technology right? Yes, and the biggest breakthroughs are yet to come and Artificial Intelligence is helping us get there. 

Each one of us is producing data in one form or the other. This data when processed gives important insights that are not identified by humans in its raw form. According to Gartner, only 37% of corporates currently utilize the power of AI in some form. Looking at the potential of AI there is a long way to go. One way AI can be used is to search for patterns and solutions to save energy and reduce waste/errors. Let’s see how it can be done. 

Rea>Real-time Energy Management

Cutting down on the sluggish operational flaws in a manufacturing unit or just keeping a check on the implementation of efficient techniques in a corporate can reduce the energy required to produce the same output by 30%. Identifying the modalities in the operation chain by fetching data to AI can help the company save lots of energy in the form of electricity and man-hours. 

Cons>Consumption Insights

p>By collecting insights on the usage patterns in a household or at a large scale power plant, machine learning can help detect shortcomings and throw light on the consumption behavior. To reduce the cost of installation of Solar panels, data consisting of weather patterns and other parameters can help in locating better locations to setup Solar/Wind power plants to squeeze out maximum energy from the available resources. 

Autom>Automated AI Inspection

>Quality control is one bottleneck where wastage/errors can be checked. Humans have physical limitations but the Industrial Vision Systems powered by Artificial intelligence can be very precise to detect deformity. By mitigating inaccuracy in output operations a company can save a huge amount of capital and increase production capacity. The AI can be trained to detect malfunctions based on specific standards of the company and automation can speed up the process 10x times to rope in higher profits. 

Reduci>Reducing Food Wastage and Increasing production

In the Agri-business industry the intervention of AI can be immensely propitious. Using machine learning to study the weather patterns and soil quality, farmers are getting higher yields from the same piece of land. The predictions based on AI give suggestions to the farmers which eventually save essential resources like water, electricity and  reduces pesticide usage. Agricultural modelling can be used as a safeguard against distorted weather patterns and season wise suggestions to grow different crops can retain soil fertility leading to the growth of the sector in a sustainable way. 

AI+IoT P>AI+IoT Powerhouse

close this resourceful article, it is helpful if we look towards IoT devices paired up with the AI to get the desired results. As all the data is collected using IoT and AI transforms it into meaningful information, the IoT gives access to the households from where we get to know the problems and discrepancies. In future the data from IoT will serve as the backbone to create efficient and sustainable solutions for mankind.  This will definitely lead to reducing wastage of energy and other resources and increase productivity and standards of human life on Earth.