Статті в журналах з теми "Load prediction and scheduling"
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Cheng, Qiangqiang, Yiqi Yan, Shichao Liu, Chunsheng Yang, Hicham Chaoui, and Mohamad Alzayed. "Particle Filter-Based Electricity Load Prediction for Grid-Connected Microgrid Day-Ahead Scheduling." Energies 13, no. 24 (December 8, 2020): 6489. http://dx.doi.org/10.3390/en13246489.
Повний текст джерелаLi, Fenglei, Chunxia Dou, and Shiyun Xu. "Optimal Scheduling Strategy of Distribution Network Based on Electric Vehicle Forecasting." Electronics 8, no. 7 (July 22, 2019): 816. http://dx.doi.org/10.3390/electronics8070816.
Повний текст джерелаWang, Kui, Bu Han Zhang, Jia Jun Zhai, Wen Shao, Xiao Shan Wu, and Cheng Xiong Mao. "Coordination between Short-Term and Real-Time Scheduling Incorporating Wind Power." Advanced Materials Research 512-515 (May 2012): 700–703. http://dx.doi.org/10.4028/www.scientific.net/amr.512-515.700.
Повний текст джерелаLi, Jingyun, and Hong Zhao. "Construction of an Optimal Scheduling Method for Campus Energy Systems Based on Deep Learning Models." Mathematical Problems in Engineering 2022 (March 31, 2022): 1–10. http://dx.doi.org/10.1155/2022/5350786.
Повний текст джерелаWang, Haiji, and Xueying Lu. "Research on short-term forecasting of power load based on big data BP neural network." Journal of Physics: Conference Series 2401, no. 1 (December 1, 2022): 012077. http://dx.doi.org/10.1088/1742-6596/2401/1/012077.
Повний текст джерелаGeary, Elizabeth M., Martin Goldberg, A. G. Greenburg, and Thomas E. Johnson. "Predicting operating room case load: An aid to resource allocation." Journal of Hospital Administration 2, no. 4 (August 26, 2013): 151. http://dx.doi.org/10.5430/jha.v2n4p151.
Повний текст джерелаLi, Zhengjie, and Zhisheng Zhang. "Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting." Energies 14, no. 9 (April 28, 2021): 2539. http://dx.doi.org/10.3390/en14092539.
Повний текст джерелаLu, You Wei, Zhen Zhen Xu, and Feng Xia. "Prediction-Based Independent Task Scheduling for Heterogeneous Distributed Computing Systems." Advanced Materials Research 457-458 (January 2012): 1039–46. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.1039.
Повний текст джерелаJin, Xue-Bo, Wei-Zhen Zheng, Jian-Lei Kong, Xiao-Yi Wang, Yu-Ting Bai, Ting-Li Su, and Seng Lin. "Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization." Energies 14, no. 6 (March 13, 2021): 1596. http://dx.doi.org/10.3390/en14061596.
Повний текст джерелаGAMBOA, CARLOS FERNANDO, and THOMAS ROBERTAZZI. "SIMPLE PERFORMANCE BOUNDS FOR MULTICORE AND PARALLEL CHANNEL SYSTEMS." Parallel Processing Letters 21, no. 04 (December 2011): 439–60. http://dx.doi.org/10.1142/s012962641100031x.
Повний текст джерелаTian, W., and H. P. Zhang. "A dynamic job-shop scheduling model based on deep learning." Advances in Production Engineering & Management 16, no. 1 (March 26, 2021): 23–36. http://dx.doi.org/10.14743/apem2021.1.382.
Повний текст джерелаYu, Jing, Feng Ding, Chenghao Guo, and Yabin Wang. "System load trend prediction method based on IF-EMD-LSTM." International Journal of Distributed Sensor Networks 15, no. 8 (August 2019): 155014771986765. http://dx.doi.org/10.1177/1550147719867655.
Повний текст джерелаÜnal, Fatih, Abdulaziz Almalaq, and Sami Ekici. "A Novel Load Forecasting Approach Based on Smart Meter Data Using Advance Preprocessing and Hybrid Deep Learning." Applied Sciences 11, no. 6 (March 18, 2021): 2742. http://dx.doi.org/10.3390/app11062742.
Повний текст джерелаYan, Guoqiang, Shaojie Mao, and Yuping Li. "Resource Allocation for Cloud-Edge-End Simulation System." Journal of Physics: Conference Series 2173, no. 1 (January 1, 2022): 012007. http://dx.doi.org/10.1088/1742-6596/2173/1/012007.
Повний текст джерелаZheng, Guilin, and Li Zhang. "The Electrical Load Forecasting Base on an Optimal Selection Method of Multiple Models in DSM." International Journal of Online Engineering (iJOE) 11, no. 8 (October 26, 2015): 34. http://dx.doi.org/10.3991/ijoe.v11i8.4882.
Повний текст джерелаR, Anitha, and C. Vidya Raj. "A Comprehensive Survey on SLA Compliant Energy Aware Resource Allocation in Cloud Datacenters." International Journal of Emerging Research in Management and Technology 6, no. 6 (June 29, 2018): 335. http://dx.doi.org/10.23956/ijermt.v6i6.290.
Повний текст джерелаPark, Minsu, Jaehwi Kim, Dongjun Won, and Jaehee Kim. "Development of a Two-Stage ESS-Scheduling Model for Cost Minimization Using Machine Learning-Based Load Prediction Techniques." Processes 7, no. 6 (June 12, 2019): 370. http://dx.doi.org/10.3390/pr7060370.
Повний текст джерелаDalle Ave, Giancarlo, Iiro Harjunkoski, and Sebastian Engell. "A non-uniform grid approach for scheduling considering electricity load tracking and future load prediction." Computers & Chemical Engineering 129 (October 2019): 106506. http://dx.doi.org/10.1016/j.compchemeng.2019.06.031.
Повний текст джерелаTan, Min, Ruixuan Ba, and Guohui Li. "Data Center Traffic Prediction Algorithms and Resource Scheduling." Sensors 22, no. 20 (October 17, 2022): 7893. http://dx.doi.org/10.3390/s22207893.
Повний текст джерелаAoyang, Han, Yu Litao, An Shuhuai, and Zhang Zhisheng. "Short-term Load Forecasting Model for Microgrid Based on HSA-SVM." MATEC Web of Conferences 173 (2018): 01007. http://dx.doi.org/10.1051/matecconf/201817301007.
Повний текст джерелаHwang, Jin Sol, Ismi Rosyiana Fitri, Jung-Su Kim, and Hwachang Song. "Optimal ESS Scheduling for Peak Shaving of Building Energy Using Accuracy-Enhanced Load Forecast." Energies 13, no. 21 (October 28, 2020): 5633. http://dx.doi.org/10.3390/en13215633.
Повний текст джерелаLiu, Yazhi, Jiye Zhang, Wei Li, Qianqian Wu, and Pengmiao Li. "Load Balancing Oriented Predictive Routing Algorithm for Data Center Networks." Future Internet 13, no. 2 (February 22, 2021): 54. http://dx.doi.org/10.3390/fi13020054.
Повний текст джерелаNie, W., N. Xiong, and H. Wang. "Low-overhead uplink scheduling through load prediction for WiMAX real-time services." IET Communications 5, no. 8 (May 20, 2011): 1060–67. http://dx.doi.org/10.1049/iet-com.2010.0770.
Повний текст джерелаShen, Wenfeng, Zhaokai Luo, Daming Wei, Weimin Xu, and Xin Zhu. "Load-prediction scheduling algorithm for computer simulation of electrocardiogram in hybrid environments." Journal of Systems and Software 102 (April 2015): 182–91. http://dx.doi.org/10.1016/j.jss.2015.01.015.
Повний текст джерелаGong, Gangjun, Xiaonan An, Nawaraj Kumar Mahato, Shuyan Sun, Si Chen, and Yafeng Wen. "Research on Short-Term Load Prediction Based on Seq2seq Model." Energies 12, no. 16 (August 20, 2019): 3199. http://dx.doi.org/10.3390/en12163199.
Повний текст джерелаYudantaka, Khikmafaris, Jung-Su Kim, and Hwachang Song. "Dual Deep Learning Networks Based Load Forecasting with Partial Real-Time Information and Its Application to System Marginal Price Prediction." Energies 13, no. 1 (December 27, 2019): 148. http://dx.doi.org/10.3390/en13010148.
Повний текст джерелаZheng, Chaoran, Mohsen Eskandari, Ming Li, and Zeyue Sun. "GA−Reinforced Deep Neural Network for Net Electric Load Forecasting in Microgrids with Renewable Energy Resources for Scheduling Battery Energy Storage Systems." Algorithms 15, no. 10 (September 21, 2022): 338. http://dx.doi.org/10.3390/a15100338.
Повний текст джерелаLiu, Jicheng, and Yu Yin. "Power Load Forecasting Considering Climate Factors Based on IPSO-Elman Method in China." Energies 15, no. 3 (February 8, 2022): 1236. http://dx.doi.org/10.3390/en15031236.
Повний текст джерелаYin, Yanlei, Lihua Wang, Jun Tang, Wanda Zhang, and Hongwei Niu. "An Optimal Scheduling Method for Data Resources of Production Process Based on Multicommunity Collaborative Search Algorithm." Journal of Sensors 2022 (March 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/2660462.
Повний текст джерелаYan, Lijie, and Xudong Liu. "The predicted load balancing algorithm based on the dynamic exponential smoothing." Open Physics 18, no. 1 (August 14, 2020): 439–47. http://dx.doi.org/10.1515/phys-2020-0108.
Повний текст джерелаHe, Huihui, Shengjun Huang, Yajie Liu, and Tao Zhang. "Robust Model Predictive Control for Energy Management of Isolated Microgrids Based on Interval Prediction." Discrete Dynamics in Nature and Society 2021 (October 14, 2021): 1–14. http://dx.doi.org/10.1155/2021/2198846.
Повний текст джерелаHe, Wei, Jia Li, Weizhe Zhao, and Yaqing Zhang. "Optimal scheduling method based on building virtual energy storage equivalent battery." E3S Web of Conferences 252 (2021): 03001. http://dx.doi.org/10.1051/e3sconf/202125203001.
Повний текст джерелаShang, Wenqian, Di Liu, Ligu Zhu, and Dongyu Feng. "An Improved Dynamic Load-Balancing Model." International Journal of Software Innovation 5, no. 3 (July 2017): 33–48. http://dx.doi.org/10.4018/ijsi.2017070103.
Повний текст джерелаTeekaraman, Yuvaraja, K. A. Ramesh Kumar, Ramya Kuppusamy, and Amruth Ramesh Thelkar. "SSNN-Based Energy Management Strategy in Grid Connected System for Load Scheduling and Load Sharing." Mathematical Problems in Engineering 2022 (January 10, 2022): 1–9. http://dx.doi.org/10.1155/2022/2447299.
Повний текст джерелаTayab, Usman Bashir, Junwei Lu, Seyedfoad Taghizadeh, Ahmed Sayed M. Metwally, and Muhammad Kashif. "Microgrid Energy Management System for Residential Microgrid Using an Ensemble Forecasting Strategy and Grey Wolf Optimization." Energies 14, no. 24 (December 16, 2021): 8489. http://dx.doi.org/10.3390/en14248489.
Повний текст джерелаBalagoni, Yadaiah, and R. Rajeswara Rao. "Locality-Load-Prediction Aware Multi-Objective Task Scheduling in the Heterogeneous Cloud Environment." Indian Journal of Science and Technology 10, no. 9 (February 1, 2017): 1–9. http://dx.doi.org/10.17485/ijst/2017/v10i9/106576.
Повний текст джерелаLi, X. B., L. Dan, and Q. Wu. "An Epon Dynamic Bandwidth Allocation Algorithm Based on the Least Mean Square Prediction." Advanced Materials Research 216 (March 2011): 574–78. http://dx.doi.org/10.4028/www.scientific.net/amr.216.574.
Повний текст джерелаZhao, Luo, Xinan Zhang, Yifu Chen, Xiuyan Peng, and Yankai Cao. "An Improved Load Forecasting Method Based on the Transfer Learning Structure under Cyber-Threat Condition." Computational Intelligence and Neuroscience 2022 (August 24, 2022): 1–15. http://dx.doi.org/10.1155/2022/1696663.
Повний текст джерелаHan, Shi-Yuan, Qi-Wei Sun, Xiao-Hui Yang, Rui-Zhi Han, Jin Zhou, and Yue-Hui Chen. "Adaptation Scheduling for Urban Traffic Lights via FNT-Based Prediction of Traffic Flow." Electronics 11, no. 4 (February 20, 2022): 658. http://dx.doi.org/10.3390/electronics11040658.
Повний текст джерелаYuwei, Cao, Zeng Ming, Jiang Shigong, Yang Weihong, Shi Pengjia, and Guo Xiaopeng. "Short-term Forecast of Multiple Loads in Integrated Energy System Based on IPSO-WNN." E3S Web of Conferences 194 (2020): 01029. http://dx.doi.org/10.1051/e3sconf/202019401029.
Повний текст джерелаGao, Wanli. "Intelligent Prediction Algorithm of Cross-Border E-Commerce Logistics Cost Based on Cloud Computing." Scientific Programming 2021 (October 29, 2021): 1–10. http://dx.doi.org/10.1155/2021/7038294.
Повний текст джерелаWang, Xin, Zhijun Shang, Changqing Xia, Shijie Cui, and Shuai Shao. "TSN Switch Queue Length Prediction Based on an Improved LSTM Network." Wireless Communications and Mobile Computing 2021 (December 22, 2021): 1–13. http://dx.doi.org/10.1155/2021/5130888.
Повний текст джерелаHu, Xiao Xi, and Xian Wei Zhou. "Improved Ant Colony Algorithm on Scheduling Optimization of Cloud Computing Resources." Applied Mechanics and Materials 678 (October 2014): 75–78. http://dx.doi.org/10.4028/www.scientific.net/amm.678.75.
Повний текст джерелаShi, Li Yan. "Energy-Saving Scheduling Algorithm of Public Transport Bus Based on Passenger Flow Distribution in Different Time." Applied Mechanics and Materials 713-715 (January 2015): 1703–7. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1703.
Повний текст джерелаZhang, Tieyan, Zongjun Yao, Jingwei Hu, and Jinfeng Huang. "Multi-Time Scale Rolling Optimization Scheduling of “Nealy-Zero Carbon Park” Based on Stepped Carbon Allowance Trading." International Transactions on Electrical Energy Systems 2022 (September 10, 2022): 1–12. http://dx.doi.org/10.1155/2022/4449515.
Повний текст джерелаS. H., Joharry. "LOAD SCHEDULING FOR SMART HOME USING DAY-AHEAD PREDICTION FROM ARTIFICIAL NEURAL NETWORK (ANN)." International Journal of Advanced Trends in Computer Science and Engineering 9, no. 1.4 (September 15, 2020): 658–63. http://dx.doi.org/10.30534/ijatcse/2020/9291.42020.
Повний текст джерелаXin Liu, L. Ivanescu, Rui Kang, and M. Maier. "Real-time household load priority scheduling algorithm based on prediction of renewable source availability." IEEE Transactions on Consumer Electronics 58, no. 2 (May 2012): 318–26. http://dx.doi.org/10.1109/tce.2012.6227429.
Повний текст джерелаHosni, Ines, and Ourida Ben Boubaker. "Optimized scheduling method in 6TSCH wireless networks." International Journal of ADVANCED AND APPLIED SCIENCES 9, no. 10 (October 2022): 81–93. http://dx.doi.org/10.21833/ijaas.2022.10.011.
Повний текст джерелаSingh, Navneet, Asheesh Singh, and Manoj Tripathy. "Selection of Hidden Layer Neurons and Best Training Method for FFNN in Application of Long Term Load Forecasting." Journal of Electrical Engineering 63, no. 3 (May 1, 2012): 153–61. http://dx.doi.org/10.2478/v10187-012-0023-9.
Повний текст джерелаZhang, Gang, Hongchi Liu, Pingli Li, Meng Li, Qiang He, Hailiang Chao, Jiangbin Zhang, and Jinwang Hou. "Load Prediction Based on Hybrid Model of VMD-mRMR-BPNN-LSSVM." Complexity 2020 (January 20, 2020): 1–20. http://dx.doi.org/10.1155/2020/6940786.
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