Articles with "uncertainty modeling" as a keyword



Complex interval number‐based uncertainty modeling method with its application in decision fusion

Sign Up to like & get
recommendations!
Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.23070

Abstract: Complex evidence theory, a generalization of Dempster–Shafer evidence theory, is an effective uncertainty reasoning for decision fusion in complex‐valued domain. In particular, the generation of complex basic belief assignment (CBBA) is a key issue for… read more here.

Keywords: interval number; complex interval; uncertainty; uncertainty modeling ... See more keywords

Domain adaptation network with uncertainty modeling and its application to the online energy consumption prediction of ethylene distillation processes

Sign Up to like & get
recommendations!
Published in 2021 at "Applied Energy"

DOI: 10.1016/j.apenergy.2021.117610

Abstract: Abstract Real-time monitoring of quality index especially energy consumption is of great significance to improve energy efficiency and save energy. In ethylene distillations, the energy consumption cannot be measured online due to the lack of… read more here.

Keywords: uncertainty modeling; energy; domain; difference ... See more keywords

Gaussian Mixture Model Uncertainty Modeling for Power Systems Considering Mutual Assistance of Latent Variables

Sign Up to like & get
recommendations!
Published in 2025 at "IEEE Transactions on Sustainable Energy"

DOI: 10.1109/tste.2024.3356259

Abstract: Gaussian mixture model (GMM) and Dirichlet process mixture model (DPMM) are the primary techniques used to characterize uncertainties in power systems, which are commonly solved by expectation-maximization (EM) algorithm. However, for the massive data of… read more here.

Keywords: power; power systems; mixture model; mutual assistance ... See more keywords

Uncertainty Modeling for Participation of Electric Vehicles in Collaborative Energy Consumption

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2022.3184514

Abstract: This paper proposes an accurate and efficient probabilistic method for modeling the nonlinear and complex uncertainty effects and mainly focuses on the Electric Vehicle (EV) uncertainty in Peer-to-Peer (P2P) trading. The proposed method captures the… read more here.

Keywords: uncertainty; energy; uncertainty modeling; participation electric ... See more keywords