The comprehensiveness of the raw input data and the effectiveness of feature engineering are two key factors affecting the performance of machine learning.To improve the data comprehensiveness for Global Navigation Satellite System Reflectometry (GNSS-R) ocean wind speed Coffee Cup retrieval, this article introduces a new input data structure, whic
Improving the Prediction of GNSS Satellite Visibility in Urban Canyons Based on a Graph Transformer
Signals from global navigation satellite systems (GNSSs) in urban areas suffer from serious multipath errors caused by building blockages and reflections.The use of deep neural networks offers great potential for predicting and eliminating complex multipath/non-line-of-sight (NLOS) errors.However, existing methods for predicting the original signal
Energy trading management based on Stackelberg game theory to increase independence of microgrids
Coffee Cup For microgrids (MGs) with multi parties, a good idea is to build a Stackelberg model for decision-making strategies and energy management.In previous studies, decision parameters in the utility function of each distributed generator (DG) were not determined according to their preferences or roles, which greatly limited their activities i