For each (topic, subtopic) pair, we generate and solve 80 problems using GPT4.

Power traders are fueling a boom in weather data, which helps them to anticipate sudden price swings. Weather forecasters are finding a lucrative niche in Japan's power-trading boom, selling hyper-specialized data to firms seeking an edge in one of the world's most volatile electricity markets. Weathernews is among a handful of companies cashing in on demand for meteorological data. The Tokyo-listed company's shares have surged 50% in the last year as investors bet on its expanded use of artificial intelligence, among other factors. The firm says it's supplying -- or is in talks to provide -- data to several dozen power traders, about a third of which are based outside Japan.

Discovering causal relations from observational time series without making the stationary assumption is a significant challenge.

On one hand, the knowledge learned from public data is implicitly transferred into the private model.

In Euclidean space, OCO boasts a robust theoretical foundation and numerous real-world applications, such as online load balancing (Molinaro, 2017), optimal control (Li et al., 2019), revenue maximization (Lin et al., 2019), and portfolio management (Jézéquel et al., 2022).