AI & ML Impact on Energy & Environment Sustainability
Smart Grids
Smart grids are advanced energy systems that integrate sensors, data analytics tools, into energy storage systems and energy management platforms.
Microgrids
By leveraging AI and machine learning, microgrid control systems efficiently regulate energy distribution and consumption.
Power Theft and Fraud Detection
Globally, electricity theft & fraud incur an estimated cost of up to $96 billion annually. Utilizing AI & ML, energy companies can identify these irregularities & alert concerned parties for swift resolution.
Energy Trading
The implementation of AI and machine learning can enhance the efficiency of energy trading by accurately forecasting energy demand and furnishing traders with up-to-date insights on energy prices.
Increase Energy Production
Employing machine learning algorithms can assist companies in making informed decisions about where to drill for oil and gas.
In summary, by collaborating and implementing best practices, we can address the challenges and risks of integrating AI and ML in energy and environmental sustainability. This will enable us to create a more efficient, sustainable energy future that benefits everyone.