Graph reinforcement learning-driven source-load cooperative scheduling optimization for textile production by Tianhao Tan, Tao Wu, Jie Li, Yuyuan Lan, Jinsong Bao

“…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. …”
Get full text

Spatially multiplexed single-photon sources based on binary-tree multiplexers with optimized structure by Matyas Mechler, Peter Adam

“…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. …”
Get full text

Coordinated Optimal Scheduling of Source and Load in Integrated Energy System Considering Flexible Resources by Funian HU, Pengcheng ZHANG, Xiaobo ZHOU, Jun CHEN

“…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. …”
Get full text

Energy-Saving Light Source Spectrum Optimization by Considering Object's Reflectance by Jingjing Zhang, Run Hu, Bin Xie, Xingjian Yu, Xiaobing Luo, Zhihua Yu, Lijun Zhang, Hong Wang, Xing Jin

“…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. …”
Get full text

Optimization of Energy Use for Zero-Carbon Buildings Considering Intraday Source-Load Uncertainties by Guiqing Feng, Kun Yu, Yuntian Zheng, Le Bu, Jinfan Chen, Wenli Xu, Xingying Chen

“…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. …”
Get full text

Efficient planning and optimization of integrated energy system considering double uncertainty of source and load by LI Aiwu, DI Liang, DONG Jie, TIAN Zhe, WANG Yi, NIU Jide

“…The design process of integrated energy system will face the uncertainty of renewable energy generation and energy demand, and the risk of sub-optimal decision will be introduced when the deterministic method is used for design. …”
Get full text

Nonlinear Blind Source Separation Algorithm Using Glowworm Swarm Optimization with Baffle Effect by Pubo Huang, Yu Wei

“…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. …”
Get full text

A power-distribution joint optimization arrangement for multi-point source jamming system by Zhihao Cai, Shiqi Xing, Sinong Quan, Xinyuan Su, Junpeng Wang

“…In order to achieve the optimal balance between the two, this paper proposes a power-distribution joint optimization arrangement for the MPSJ system. …”
Get full text

Review of Frost-free and Defrost Methods for Air-source Heat Pump Systems by Shen Jiubing, Li Ziqiang, Xing Ziwen, Yu Yue, Ge Meicai

“…This study presents a review of the frosting conditions, frost-free method, and different defrosting methods for air-source heat pump systems. …”
Get full text

Multi-objective optimal probabilistic planning in distribution systems considering load growth by Ayat Saleh

“…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. …”
Get full text

A Passive Time Reversal Method with a Metamodel for Underwater Source Localization by Jiang Liu, Sheng Li

“…A passive time reversal method with a metamodel (PTR-MM) is proposed to improve underwater source localization under ocean conditions. …”
Get full text

Practical and cost-effective method for the isolation of pollen grains from various sources by Ozge S. Kuddar, Benjamin J. Callahan, Christopher Bernhardt, Kelly A. Meiklejohn

“…Mock standards, with known concentrations and varied characteristics, when analyzed alongside unknown samples, can provide evaluation, optimization, and validation of scientific methods. Due to the scarcity of commercially available pollen grains, this study introduces a practical and cost-effective method for isolating pollen grains from various sources to be used in a mock pollen standard. …”
Get full text

An Integrity Monitoring Method for Navigation Satellites Based on Multi-Source Observation Links by Jie Xin, Dongxia Wang, Kai Li

“…This study constructs multi-source observation links with satellite-to-ground, inter-satellite, and satellite-based observation data, proposes an integrity monitoring method with optimization of observation links, and verifies the performance of integrity monitoring with different observation links. …”
Get full text

Demand Side Load Source Duality Modeling Method for Active Demand Response by Xin AI, Limin XU, Huichuan LIU, Xueying WANG, Hongyang LIU, Yizheng LI

“…This paper takes the method of load source duality modeling for active demand response as the theme, analyzes the research results of load source duality modeling at home and abroad from the perspective of flexible resources participating in grid dispatching on demand side. …”
Get full text

A novel method for asynchronous source localisation based on time of arrival measurements by Huijie Zhu, Sheng Liu, Zhiqiang Yao, Moses Chukwuka Okonkwo, Zheng Peng

“…Simulations show that the proposed method is superior in terms of localisation accuracy and computational complexity, and can reach the optimality benchmark of Cramér–Rao Lower Bound even in high signal-to-noise ratio environments.…”
Get full text

A DRL-based optimization method for microgrid operation by ZENG Lei, DING Quan, CHEN Xiaoyu, YUE Xianya

“…To address the challenges of source-load uncertainty and insufficient scheduling flexibility in microgrids， an optimization method for microgrid operation based on deep reinforcement learning （DRL） is proposed. …”
Get full text

Identification of Voltage Sag Source in Distribution Network Based on BAS-SVM by Haitao LIU, Xiaoyi YE, Ganyun LÜ, Huajun YUAN, Zongpu GENG

“…In order to improve the identification accuracy of different voltage sag disturbance sources, a voltage sag source identification method based on beetle antennae search (BAS) and support vector machine (SVM) is proposed. …”
Get full text

Enhanced permeability prediction in porous media using particle swarm optimization with multi-source integration by Zhiping Chen, Jia Zhang, Daren Zhang, Xiaolin Chang, Wei Zhou

“…The model integrates multi-source data from the Lattice Boltzmann Method (LBM), Pore Network Modeling (PNM), and Finite Difference Method (FDM). …”
Get full text

A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering by Bahman Arasteh, Peri Gunes, Asgarali Bouyer, Farhad Soleimanian Gharehchopogh, Hamed Alipour Banaei, Reza Ghanbarzadeh

“…The primary objective of comprehending the source code is extracting information used during the software maintenance phase. …”
Get full text

Residual host cell proteins: sources, properties, detection methods and data acquisition modes by Yifan Yao, Yifan Yao, Xuemei Wen, Xuemei Wen, Hongjuan Pan, Hongjuan Pan, Ziwei Chen

“…At the same time, combined with risk assessment and process optimization, it is expected to further reduce the residual risk of HCP. …”
Get full text