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A novel method for asynchronous source localisation based on time of arrival measurements
Published 2021-10-01“…First, by leveraging dimensionality reduction, the maximum (minimum) distance maximum (minimum) time-of-arrival matching-based second-order Monte Carlo method is applied to find a rough initial position of the signal source with low computational complexity. …”
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62
Multi-Source Pansharpening of Island Sea Areas Based on Hybrid-Scale Regression Optimization
Published 2025-06-01Get full text
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63
Research on Advancing Radio Wave Source Localization Technology Through UAV Path Optimization
Published 2025-05-01“…With an increasing number of illegal radio stations, connected cars, and IoT devices, high-accuracy radio source localization techniques are in demand. Traditional methods such as GPS positioning and triangulation suffer from accuracy degradation in NLOS (non-line-of-sight) environments due to obstructions. …”
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64
Optimization study of a multi-heat source coupled bathing hot water system
Published 2024-12-01“…To reduce the operational energy consumption of a compressed air system coupled with a solar and air-source heat pump hot water system, a model was established using TRNSYS, and the Taguchi method was employed to design experiments for four factors influencing the system's energy consumption. …”
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65
Two-Stage Robust Optimization Considering the Uncertainty of Sources and Loads in Virtual Power Plants
Published 2025-01-01“…To address the challenges of system operation optimization and resource allocation caused by the integration of a large amount of renewable energy on the supply side of the energy system into VPPs and the flexible and changeable load on the demand side, this paper proposes a distributed robust optimization method that simultaneously considers the uncertainties of both the source and the load. …”
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66
Service Restoration in Distribution Networks by Optimal Scheduling of Repair Crew and Mobile Power Sources
Published 2024-03-01“…In this method, repair crew (RC) and mobile power sources (MPSs) are also important for the restoration process. …”
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67
Graph reinforcement learning-driven source-load cooperative scheduling optimization for textile production
Published 2025-12-01“…This research proposes a graph reinforcement learning-driven source-load collaborative optimization method. Based on a domain knowledge graph fusing textile production processes, equipment status, and energy consumption relationships, the method explicitly characterizes the heterogeneous correlation of the source-load system. …”
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68
Spatially multiplexed single-photon sources based on binary-tree multiplexers with optimized structure
Published 2025-05-01“…Abstract We develop a method for optimizing the structure of general binary-tree multiplexers realized with asymmetric photon routers aiming at improving the performance of spatially multiplexed single-photon sources. …”
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69
Coordinated Optimal Scheduling of Source and Load in Integrated Energy System Considering Flexible Resources
Published 2024-05-01“…In order to improve the flexible adjustment ability of IES and the consumption level of renewable energy, this paper proposes an IES source-load coordination optimization scheduling method considering flexible resources. …”
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70
Energy-Saving Light Source Spectrum Optimization by Considering Object's Reflectance
Published 2017-01-01“…In this study, a spectrum optimization method by means of a genetic algorithm to minimize the light energy along the absorbed wavelengths while maintaining the light quality of the light source was proposed. …”
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71
Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties
Published 2025-05-01“…To address this issue, this study proposes an intraday optimization method for zero-carbon buildings under the source-load fuzzy space, which innovatively constructs a fuzzy chance constraint model of Photovoltaic (PV) output and load demand, enforces energy self-sufficiency as a constraint, and establishes a multi-objective optimization framework with thermal comfort as the main objective and power adjustment balance as the sub-objective, so as to quantify the decision risk through intraday energy optimization. …”
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72
Efficient planning and optimization of integrated energy system considering double uncertainty of source and load
Published 2024-10-01“…In this paper, an efficient planning and optimization model for integrated energy systems considering dual source-load uncertainty was proposed. …”
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73
Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect
Published 2015-09-01“…According to the characteristics of glowworm swarm optimization(GSO)algorithm, to overcome the disadvantages of premature convergence, a new method called “baffle effect”was proposed. …”
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74
A power-distribution joint optimization arrangement for multi-point source jamming system
Published 2025-09-01“…Increasing the jamming power while expanding the distribution area of the equivalent synthesis center increases the risk of the multi-point source jamming (MPSJ) system being detected by the monopulse radar. …”
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75
Optimizing fully-efficient two-stage models for genomic selection using open-source software
Published 2025-02-01Get full text
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76
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Multi-objective optimal probabilistic planning in distribution systems considering load growth
Published 2025-01-01“…A comprehensive stochastic strategy is offered for a number of uncertainties, such as load increase and output power from renewable energy sources. Two IEEE bus networks are used to illustrate the suggested method's efficacy. …”
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Residual host cell proteins: sources, properties, detection methods and data acquisition modes
Published 2025-08-01“…This review discusses the sources, properties, pretreatment and detection of residual HCPs in therapeutic products, along with current regulatory considerations and future advancements.…”
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80
Coupled Design and Operation Optimization for Decarbonization of Industrial Energy Systems Using an Open-Source In-House Tool
Published 2024-11-01“…This paper presents a comprehensive methodology integrated in an open-source in-house tool for the coupled design and operation optimization of energy systems in industrial settings. …”
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