Predicting weather is one of the most complex challenges facing humanity, and if solved would have some of the most far-reaching benefits. For businesses that play a fundamental role in everyday life, like agriculture and renewable energy, weather prediction is especially important. The difference between good and great forecasts amount to huge sums of money every year. With all that on the line, the latest artificial intelligence (AI) technology has become a beacon of hope to create a world in which perfect forecasts are the norm.
Balancing energy grids using real time AI weather predictions
02/ In context
03/ The challenge
04/ The results
Deep Weather was created with wind energy optimization in mind, but the system has the potential to create all sorts of new solutions, large and small. Office buildings could be provided with updated forecasts every 10 seconds and automatically adjust their climate systems accordingly saving billions in energy waste. Off-piste skiers and mountain climbers could enter the wilderness with full confidence that adverse weather won’t leave them stranded. For Olsson and Tekniska verken, the quest to be more resource efficient is a never-ending one. “We have an obligation to always challenge the boundaries of what is currently possible. Deep Weather has demonstrated that it is possible to rethink how to solve complex problems with AI, and that it’s possible to leverage the downsides facing wind power into advantages that will ultimately lead to more renewable energy”.
Photography by Paulo Simoes Mendes, Drew Hays and Samuel Wester