Technology has led the way for increased efficiency in many industries. Organizations have put modern advanced techniques to maximize their benefits. The energy industry is not far behind. Companies have begun to use many software tools to increase their efficiency.
The Internet of things (IoT) has helped create a lot of data regularly. Artificial intelligence has used the data to make many sustainable development models for energy saving in the energy sector. The detailed analysis is given below:
Energy Storage: The energy sector was often looking for a renewable solution to the energy storage problem. With raised storage capacity, artificial intelligence has helped boost efficiency and sustainability. As per a report by Greentech Media, American energy storage achieved a massive milestone in 2017 with the support of software tools that use artificial intelligence. An artificial intelligent-based Athena program offers its customers a tracking tool to monitor the fluctuations in energy rates, enabling them to make a more efficient energy storage system.
Accident Management: Accidents are a general phenomenon in any industry. The energy sector also confronts some severe accidents. Many factors can cause accidents, such as human error and mechanical failure. A thorough inspection of equipment is required to prevent accidents.
AI uses many fault detection techniques to raise the alarm before any mechanical failures or any mishandling of equipment. Sensors are ascended on the machine to send data about the machine's performance, and based on the present and past data, the artificial intelligence tool performs a predictive analysis.
Grid management: power grids store energy from wind, solar, and coal sources. AI helps analyze massive data sets within a concise time frame. ANM (Active network management ) is an AI-based tool that automatically operates grids. It tracks the grid's interaction with different sources and changes the grid.
