Learn how to build, collect, and analyze real-time data using a low-cost data acquisition device trainer and a machine learning model. This first article in a two-part hands-on tutorial will show you ...

More information: Nina Horat et al, Improving Model Chain Approaches for Probabilistic Solar Energy Forecasting through Post-processing and Machine Learning, Advances in Atmospheric Sciences (2024 ...

This author’s solar punk novel involves the team from Clean Coalition using their power grid maps, guiding business areas with strategic solar+storage placement on a city level, taking into ...

Researchers at the University of California, Davis College of Engineering are using machine learning to identify new materials for high-efficiency solar cells. Using high-throughput experiments and ...