Search

燃气轮机装机容量日益增加，推动了电-气综合能源系统的联合调度研究。为了减少碳排放和加快求解速度，本文提出了一种计及时段粒化的电-气综合能源系统低碳经济调度策略。首先，考虑碳交易机制，建立了电-气综合能源系统低碳调度模型；其次，提出了一种计及时段粒化的快速求解策略，该策略利用改进的k-means聚类方法把调度周期的96个时段粒化，从而加快模型的求解速度；最后，采用电力39节点和天然气20节点的电-气综合能源系统进行算例仿真，仿真结果验证了构建模型与所提出策略的可行性和有效性。

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Biotechnology Bulletin is the property of Biotechnology Bulletin Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Computer Engineering & Applications is the property of Beijing Journal of Computer Engineering & Applications Journal Co Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Practical Pharmacy & Clinical Remedies is the property of Editorial Department of Practical Pharmacy & Clinical Remedies and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To reduce the impact of the VOC (Volatile Organic Compounds) emission from a variety of wood decorative materials and furniture on human physiological and psychological health, it is necessary to establish a scientific and reasonable hazard assessment method to get the hazard index of human beings under the coexistence of various VOC. Based on several evaluation indicators such as air concentration of hazardous grade compound monomers, minimum occupational exposure limit assessment value for individuals and persistent exposure time factor, the quantitative risk assessment model for the coexistence of multiple volatile organic compounds was established for the first time. According the value of R ( Evaluation Index) , assessed whether the environment with multiple VOC coex¬istence states met the safety requirements. It proved that the evaluation model had correct guiding significance through the verification of Chinese national standsird GB / T 18883 -2002 and American Green Guard Air Quality Standard. Based on the evaluation model, the harm of VOC released from several kinds of particleboards in equilibrium state was evaluated. The results showed that: at ( 23 ± 0. 5 ) Tl，relative humidity ( 50 ± 5 ) % and loading rate 1.0 m2/m3，According to the evaluation model，the values of PVC laminated particleboard, melamine laminated particleboard, water - based painting particleboard and uncontrolled particleboard were 0. 78, 0.53, 1.01 and 0.83, respectively, melamine laminated particleboard had the best environmental performance, followed by polyvinyl chloride ( PVC) laminated particleboard, the R value of water - based painting particleboard exceeded the contact limit, which did not meet the requirements of hygiene. [ABSTRACT FROM AUTHOR]

The edge sign prediction is to mine the sign-related implicit information according to the network topology, aiming to reveal the potential relationship between users. Node status and similarity can better represent sign attributes of edges, providing a theoretical basis for improving the prediction effect. By investigating the strong correlation between the two theories and the sign attributes of the edges, this paper established a sign prediction model. Firstly, it used prestige evaluate the social status of user nodes. At the same time, cosine similarity could represent the user's social preferences . Then, both sides were combined based on the logistic regression learning model to establish the edge sign prediction model LR-SN. Finally, a random gradient ascent algorithm would optimize the model during training. The experimental results of three real network datasets show that compared with the existing baseline methods, the accuracy of sign prediction of LR-SN model is significantly improved and has certain generalization, indicating that the fusion of local information and global information can further improve the prediction effect. [ABSTRACT FROM AUTHOR]

Copyright of Telecommunications Science is the property of Beijing Xintong Media Co., Ltd. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Jiangsu University (Natural Science Edition) / Jiangsu Daxue Xuebao (Ziran Kexue Ban) is the property of Editorial Department of Journal of Jiangsu University (Natural Science Edition) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To improve the accuracy and efficiency of partner selection in the supply chain,we propose a hybrid algorithm of particle swarm and ant colony optimization(PSACO),establish a directed graph path model based on supply chain nodes and directed arcs,and construct a multi-objective optimization model.A discrete particle swarm optimization(DPSO)is modified so as to obtain initial solutions to the partner selection problem.Then the initial solutions are used to form pheromone-initializing matrix for ant colony optimization(ACO),which is further modified by redefining its searching strategy to find the optimal solution.Experimental results demonstrate that the proposed PSACO algorithm can achieve more accurate solutions with greater efficiency,and is of better performance. [ABSTRACT FROM AUTHOR]