Results 31 to 40 of about 173,639,131 (247)

A Novel Multi-Area Distribution State Estimation Approach for Active Networks

open access: yesEnergies, 2021
This paper presents a hierarchically distributed algorithm for the execution of distribution state estimation function in active networks equipped with some phasor measurement units.
Mohammad Gholami   +4 more
doaj   +1 more source

Adaptive Estimation of Distribution Algorithms

open access: yes, 2008
Estimation of distribution algorithms (EDAs) are evolutionary methods that use probabilistic models instead of genetic operators to lead the search. Most of current proposals on EDAs do not incorporate adaptive techniques. Usually, the class of probabilistic model employed as well as the learning and sampling methods are static.
Santana Hermida, Roberto   +2 more
openaire   +2 more sources

A Novel Method of Statistical Line Loss Estimation for Distribution Feeders Based on Feeder Cluster and Modified XGBoost

open access: yesEnergies, 2017
The estimation of losses of distribution feeders plays a crucial guiding role for the planning, design, and operation of a distribution system. This paper proposes a novel estimation method of statistical line loss of distribution feeders using the ...
Shouxiang Wang   +2 more
doaj   +1 more source

Collaborative Estimation of State and Guidance Parameter for Interceptor Based on Variational Bayesian Technique

open access: yesIEEE Access, 2020
In this paper, we study the state estimation problem with an unknown guidance parameter of the interceptor, where the guidance parameter is modeled by normal-gamma distribution.
Haoshen Lin   +4 more
doaj   +1 more source

Research on parameter estimation methods of fatigue life distribution model of automotive chassis parts

open access: yesAdvances in Mechanical Engineering, 2022
The reliability assessment of fatigue life of automotive chassis parts is an important part of automobile safety. The fatigue endurance tests of automotive half-axles were carried out.
Yidong Wu   +4 more
doaj   +1 more source

Niching Multimodal Landscapes Faster Yet Effectively: VMO and HillVallEA Benefit Together

open access: yesMathematics, 2020
Variable Mesh Optimization with Niching (VMO-N) is a framework for multimodal problems (those with multiple optima at several search subspaces). Its only two instances are restricted though.
Ricardo Navarro, Chyon Hae Kim
doaj   +1 more source

Unscented Kalman Filter-Based Battery SOC Estimation and Peak Power Prediction Method for Power Distribution of Hybrid Electric Vehicles

open access: yesIEEE Access, 2018
State of Charge (SOC) is a key parameter for battery management and vehicle energy management. Recently used SOC estimation methods for lithium-ion battery for vehicles have problems of too simple a base model for the battery and large sampling noise in ...
Weida Wang   +4 more
doaj   +1 more source

An estimation of distribution algorithm for public transport driver scheduling

open access: yes, 2017
Public transport driver scheduling is a process of selecting a set of duties for the drivers of vehicles to form a number of legal driver shifts. The problem usually has two objectives which are minimising both the total number of shifts and the total ...
Peng, Kunkun   +2 more
core   +1 more source

A Hybrid Estimation of Distribution Algorithm for the Minimal Switching Graph Problem [PDF]

open access: yes, 2006
Minimal Switching Graph (MSG) is a graphical model for the constrained via minimization problem—a combinatorial optimization problem in integrated circuit design automation. From a computational point of view, the problem is NP-complete. In this paper we
Lau, Raymond Y. K.   +3 more
core   +1 more source

Three-Phase State Estimation of a Low-Voltage Distribution Network with Kalman Filter

open access: yesEnergies, 2021
The state estimation of distribution networks has long been considered a challenging task for the reduced availability of real-time measures with respect to the transmission network case.
Fabio Napolitano   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy