Accurate generation modelling and forecasting is integral to not just the financial performance of operational solar farms, but how they are integrated into modern grids. A study from Monash University in Australia has proven how artificial intelligence approaches can help drastically improve performance forecasts. Dr. Christoph Bergmeir, who led that study, details its key learnings.
UK-based solar PV inspection and data analytics company Above details how its ‘Follow PV’ project, launched alongside the University of Essex, is enhancing the research and development of autonomous drone technology in utility-scale solar.
Amidst a need to scale up solar this decade, PV Tech Premium speaks to Vassilis Papaeconomou, managing director at renewables service provider Alectris, to learn how the solar industry can scale up efficiently, what asset owners and operators need to be aware of when buzzwords such as ‘digitalisation’ and ‘artificial intelligence’ are mentioned, and what the industry might learn from more mature technologies such as wind.
Machine learning techniques have been used in a study to boost the accuracy of renewables forecasts by up to 45%, helping improve grid operations in Australia.
Greater digitisation will be a pivotal enabler for the utility-scale solar sector as it looks to deploy hundreds of gigawatts each year, Lightsource bp group COO Ann Davies has said.
The optimal integration of distributed energy resources such as solar, battery storage and smart thermostats becomes an ever-more complex and pressing question. Rahul Kar, general manager and VP for New Energy at AutoGrid Systems looks at the role artificial intelligence can play in smarter energy networks
PV Tech speaks to Ma Rui, Huawei’s director of smart PV for the Middle East and Africa, about the incorporation of artificial intelligence in solar PV, the firm’s growth in the MENA region and how competition in the sector can drive research and development.
