As prices drop and competition intensifies in the world of solar and wind, can generators use machine learning to maintain healthy margins?
How to release the full potential of renewable energy? Energy internet and machine learning would the right combination to achieve the energy efficient and low carbon future for China.
Offshore wind turbines offer tremendous potential for renewable energy, but are still not as competitive as other low-carbon technologies. Iberdrola, global leader in power generation and one of the largest wind power producers, looks at machine learning solutions to decrease maintenance costs and make offshore wind more affordable.
kWh Analytics, a data analytics start-up based in San Francisco, CA, is trying to lower the cost of solar energy through machine learning. Is it developing the right product?
Given the importance of addressing climate change and adding renewable generation to the energy grid, Xcel Energy is using machine learning to overcome the challenges of the intermittent nature of wind power.
Role of AI and ML help in bridging the gap in utilities sector as the industry shifts from fossils to renewables.
Can machine learning offer an opportunity to reduce the uncertainty in evaluating wind power projects? What is the future of artificial intelligence in the energy industry?
Apple is committed to shift its production to 100% renewable energy powered. However, they would need to convince the suppliers to shift to renewable energy for Apple product's production, implicating economic impacts. How would they do?
Cost reductions in wind power are shrinking profits for wind turbine manufacturers.
At the forefront of global efforts against climate change, Acciona Energy must not turn a blind eye to its own resilience to the intensifying effects of global warming.