Forecasting coasts may improve by combining AI, physics, and real-world data

Coastal landscapes are constantly being reshaped by natural forces, and as climate change causes more frequent storms and sea ...
IEEE

A Robust Photovoltaic Power Forecasting Method Based on Multimodal Learning Using Satellite Images and Time Series

Abstract: Ultra-short-term photovoltaic (PV) power forecasting holds significant importance in enhancing grid stability. Most PV power forecasting methods based on satellite images rely on pixel-level ...

New methods can help study the phenomenon of turbulence

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...
BeInCrypto

Prediction Markets vs. Polls: Which Forecasts Better and When?

During the 2024 U.S. presidential election, the crypto prediction platform Polymarket priced several outcomes closer to the ...
IEEE

Multi-Scale Spatial-Temporal Transformer for Meteorological Variable Forecasting

Abstract: Frequent occurrences of marine extreme climate and weather events pose significant threats to human life and property, underscoring the practical significance of meteorological data ...
GitHub

README.md

Slight cooling trend expected: The model forecasts a mean anomaly 0.07°C below 2024 levels, suggesting a potential stabilization after the record-breaking temperatures of 2023-2024. Seasonal pattern ...