The potential new applications for AI in energy management are vast and varied. Some of the more promising applications include:
1. Automated monitoring of energy usage: AI systems can be used to monitor energy usage in buildings and factories automatically. By tracking energy usage trends over time, AI systems can identify opportunities for energy savings. For example, an AI system may notice that a particular piece of machinery is running longer than usual during a certain time of day. By analyzing patterns in energy usage, the AI system can recommend changes to the operating schedule that could reduce energy consumption.
2. Identifying sources of inefficiency: AI systems can also be used to identify specific sources of inefficiency in buildings and factories. For example, an AI system may identify a production line that is not running at optimal efficiency. By analyzing the data, the AI system can recommend changes that could improve the efficiency of the production line.
3. Predicting energy demand: AI systems can also predict future energy demand. Utilities can use this information to manage electricity supply better. For example, if an AI system predicts that there will be a spike in energy demand in the future, the utility can take steps to ensure that there is an adequate electricity supply.
4. Improving energy forecasting: AI systems can be used to improve energy forecasting. This information can be used by businesses to manage their energy usage better. For example, if an AI system predicts that there will be a period of high energy demand, businesses can take steps to reduce their energy usage during that time.
5. Developing new energy-saving technologies: AI systems can be used to develop new energy-saving technologies. For example, an AI system may be used to create a new algorithm that can be used to manage the use of electric vehicles more efficiently.
AI systems are playing an increasingly important role in improving energy efficiency. As the use of AI in energy management continues to grow, there will be more opportunities for new and creative ways to use AI to improve energy efficiency further.
References:
1. https://www.greenerbuildings.com/news-analysis/11/16/artificial-intelligence-holds-promise-energy-management
2. https://www.energymanagertoday.com/the-future-of-ai-in-energy-management-0137Bluetooth 5.0
4. http://spectrum.ieee.org/view-from-the-valley/energywise/ saving-energy-with-artificial-intelligence
5. http://www.nature.com/articles/s41598-017-18821-w