Improve wind forecast accuracy with automated Convolutional Machine Learning analysis
Improve wind forecast accuracy with automated Convolutional Machine Learning analysis
About Customer:
A distinguished leader in the energy and utility sector, widely recognized for pioneering efforts in advancing sustainable practices and cutting-edge technologies to promote a more eco-friendly and efficient landscape.
Our Solution:
JBS utilized automated image analysis with Convolutional Machine Learning, incorporating TensorFlow, XGBoost, and transfer learning for accurate wind generation predictions.
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Customer Benefits :
1
Informed trading by using Real-time data and analytics tools
2
Improved accuracy in solar generation predictions for better decision-making.