How a single cloud can make fortunes in Australia's electricity market

Australian energy companies' adoption of AI-powered solar forecasting to predict sunny days marks a significant shift in the country's electricity market, with companies like AEMO and Australia's renewable energy operators leveraging big data and complex weather systems to maximize solar energy output. This development has implications for website owners in the energy and environmental sectors, as it highlights the growing importance of data-driven approaches to renewable energy. As AI-powered solar forecasting becomes more prevalent, website owners may see increased traffic from bots and crawlers seeking to gather data on energy production and consumption patterns. Furthermore, website owners may need to adapt their content strategies to address the changing energy landscape and the role of AI in shaping it. To stay ahead of the curve, website owners can take several actionable steps: first, monitor their website's traffic patterns to identify potential AI bot traffic related to solar forecasting and energy production; second, review and update their llms.txt files to ensure that AI crawlers can efficiently access relevant data on their sites; and third, consider integrating AI-powered content tools to create more dynamic and data-driven content that resonates with their audience.