Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of stand-alone photovoltaic systems. The approach uses a bidirectional long short-term ...

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...

Kalshi is a platform where users can bet on outcomes for just about anything, from sporting events to economic indicators to presidential elections. Recent research by the Federal Reserve found that ...

Paying invoices sounds simple enough. A vendor creates an invoice and sends a bill, your team approves it, and the money goes out. In practice, though, invoice payments are where a lot of finance ...

Abstract: This study uses a publicly accessible dataset from Kaggle to evaluate the performance of a novel Random Forest technique for optimal route analysis against a Naive Bayes classifier. The ...

A team of scientists from around the world has created the first system that can predict when and where extremely powerful solar storms, called superflares, are most likely to happen. These storms can ...

Culex mosquito larvae cluster together underwater. The genus is the chief insect vector for West Nile virus in the United States. Credit: Gross, 2006, https://doi.org ...

Kalshi says it's more than just betting and that it offers high-quality forecasts. Now, a research paper from a group of Federal Reserve economists is backing that up. The researchers found that ...

Amid the myriad discussions about AI – from the astounding amount of money being spent by vendors and enterprises and the debate about actual ROI those businesses are getting to the technology’s ...

To successfully enter an international market takes far more than instinct. It demands time, disciplined research, and a strong understanding of the economic, competitive, and consumer forces shaping ...