AI, AI, and AI! We all come across this word at least once a week and we also hear the term — ‘Renewable Energy’ on many news channels and many social media platforms as our globe is undergoing climate change. Climate change has become a huge concern globally and has affected many regions around the world. We all must be knowing what climate change is but how AI can help to combat climate change and global warming? What is the use of AI in renewable energy? Let’s find it out.
Impact of Climate Change on Our World
Climate change is affecting the whole world. Global warming, increase in extreme natural disasters, rising sea levels, unpredictable weather patterns, land degradation, loss of wildlife and biodiversity, and a decrease in quality of human life are some effects of climate change. The main causes of climate change are rapid industrialization, extreme use of fossil fuels, increase in pollution, increase in greenhouse gases and carbon emissions, deforestation, harsh agricultural practices, and overuse of electricity.
The best way to tackle climate change is to reduce the activities that cause these circumstances, but we need fossil fuels for our daily life activities like the use of petrol and diesel in cars, the use of gas in stoves and fireplaces in homes and also in ovens. These activities can be shifted from fossil fuel-based appliances to electricity-based technology which will in turn create more electrical energy demand.
AI can solve all these needs by it’s following features:
- Optimizing Energy Production and Scheduling: AI helps optimize the amount of energy that is produced and the amount that shall be produced. Optimization will give AI data and stats to schedule further production.
2. Defect detection: This feature allows us to get defect reported as soon as possible which means it can be fixed as soon as it is noticed by AI and the production of energy continues.
3. AI-led cybersecurity: This feature is for the security of the energy produced by our system so that it doesn’t get leaked or the system doesn’t get hacked by hackers. Smart recognition allows only allowed persons or identity to get access to the inventory and the systems.
4. Emission Tracking: Advanced Emission Tracking systems are designed to constantly monitor day-to-day environmental performance and measure particulate matter concentration or emission rate of specific pollutants. As a result, companies can reduce greenhouse emissions, mitigate risks associated with climate change, as well as create value for customers, investors, and employees.
5. AI-led Inventory Management: AI helps ramp up efficiencies in network planning and predictive demand, allowing the production to become more proactive. As Energy & utility companies gain more and more visibility into the demand patterns, they can plan for change, like with new driving habits, for example adjusting the number of vehicle recharging points and directing customers to nearby locations where recharging points are not in use. This leads to happier customers and lower operational costs.
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- CellStrat research : https://bit.ly/CS-research and https://cellstrat.medium.com/
