Researchers have developed a weather-driven early-warning system that integrates biological modelling with machine learning ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring ...

Yasmin Akter Bipasha, a researcher affiliated with Westcliff University in the United States and Bangladesh University of ...

Abstract: The operation of Virtual Power Plants (VPPs), integrating renewable sources like wind and solar, relies on accurate weather forecasting. Long Short-Term Memory (LSTM) networks are widely ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...

Hello, sorry to bother you. I’m very interested in this work and was trying to find the corresponding paper. May I ask whether this research has been formally published (or is available as a preprint) ...

ABSTRACT: Under the context of global climate change, the frequent occurrence of strong winds in Guyuan has significantly hindered the development of local facility agriculture. Using hourly ...

Google's DeepMind just released WeatherNext 2, a new version of its AI weather prediction model. The company promises that it "delivers more efficient, more accurate and higher-resolution global ...

ABSTRACT: With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness ...

Researchers have modeled a hybrid financing scheme combining contracted and merchant components to improve the bankability of PV-battery energy storage system (PV-BESS) assets, using a Bayesian LSTM ...

In a new comparative analysis of artificial intelligence applications in retail, researchers have revealed that advanced deep learning models can dramatically enhance the accuracy of demand ...