A Metaheuristics-Based Hyperparameter Optimization Approach to Beamforming Design
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3277625
Abstract: The paradigm shift from “connected things” to “connected intelligence” is anticipated to be made possible by the sixth-generation wireless systems, which typically use millimeter wave beamforming to mitigate the significant propagation loss. However, beamforming design… read more here.
Keywords: beamforming design; metaheuristics based; deep learning; approach ... See more keywords
A Metaheuristics-Based Inputs Selection and Training Set Formation Method for Load Forecasting
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14081733
Abstract: Load forecasting is a procedure of fundamental importance in power systems operation and planning. Many entities can benefit from accurate load forecasting such as generation companies, systems operators, retailers, prosumers, and others. A variety of… read more here.
Keywords: based inputs; training; load forecasting; metaheuristics based ... See more keywords