Artificial Intelligence (AI) technology continues to make strides in enabling a wealth of opportunities for growth and optimization within the energy sector. AI is already driving efficiency and improving data analytics, among others in many industries. In order to understand how AI-assisted solutions can benefit solar, we need to identify the key challenges facing the industry and AI’s role in solving them.
This white paper synthesizes the application of AI technology for better data acquisition to improve visibility into a solar PV plant, increase yield and reduce operational costs. Typical solar applications of AI are composed of three broad categories of energy forecasting, energy efficiency, and energy accessibility. Much like the Tesla car, which requires minimum human intervention, the golden idea for solar would also be to collect sensory data from a multitude of sources to be utilized in order to maintain a PV portfolio according to its needs.
Download this case study driven complimentary 17-page white paper to learn:
What roles do data and the AI engine play?
How does AI aid the efficiency and ROI of solar assets?
Which options are available for prescriptive diagnostic optimization?
How does AI help with secondary market assessment?