Výsledky vyhľadávania - Power consumption-based algorithm

In-Depth Exploration of the Relationship between Charging Station Market Price and Power Consumption based on Machine Learning Algorithms

Autori: Jun Zhang Ziyin Wang Bingqi Zhao a ďalší

Zdroj: 2025 International Conference on Intelligent Computing and Knowledge Extraction (ICICKE). :1-6

Intelligent Decision Scheme of Ordered Power Consumption Based on Fish Swarm Algorithm Optimization

Autori: Bing Sui Peng Yu Zeng Shou a ďalší

Zdroj: 2024 9th Asia Conference on Power and Electrical Engineering (ACPEE). :890-894

Identification of Related Factors of Users’ Power Consumption and Prediction Model of Power Consumption Based on Random Forest Algorithm

Autori: Zheng Zhu Shuang Xiao Ruijia Zhang a ďalší

Zdroj: 2023 International Conference on Internet of Things, Robotics and Distributed Computing (ICIRDC). :205-210

Intelligent Monitoring of Power System Electricity Consumption Based on Isolation Forest Algorithm

Autori: Jianbing Yin Fei Li Xianghai Xu a ďalší

Zdroj: 2023 3rd International Conference on New Energy and Power Engineering (ICNEPE). :1051-1054

Flexibility transformation strategy of thermal power units for typical scenario considering wind and solar consumption based on generalized Benders decomposition algorithm

Autori: Wendi Li Wei Sun Bingkang Li a ďalší

Zdroj: Electrical Engineering. 105:3423-3432

Research on Simple Power Consumption Based on AES Algorithm

Autori: Cheng Zhang Yunhui Jia Libin Zhu a ďalší

Zdroj: 2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA). :1883-1886

Condition Judgment Method of Self-owned Power Plant Participating in New Energy Consumption Based on SOM-Kmeans Algorithm

Autori: Jijun Dong Zhijun Bai Xiaohua Liu a ďalší

Zdroj: 2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT). :182-186

Trend Analysis of Building Power Consumption Based on Prophet Algorithm

Autori: Dezhi Li Feixiang Gong Shiming Tian a ďalší

Zdroj: 2020 Asia Energy and Electrical Engineering Symposium (AEEES). :1002-1006

Predmety: 13. Climate action, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Prístupová URL adresa: https://ieeexplore.ieee.org/abstract/document/9121548

Optimization and Scheduling of Green Power System Consumption Based on Multi-Device Coordination and Multi-Objective Optimization

Autori: Liang Tang Hongwei Wang Xinyuan Zhu a ďalší

Zdroj: Energy Engineering ; ISSN: 0199-8595 (Print) ; ISSN: 1546-0118 (Online) ; Volume 122 ; Issue 6

Predmety: Multi-objective optimization scheduling model, multi-objective particle swarm optimization algorithm, consumption capacity of green power, wind and solar curtailment, coordinated optimization of multiple devices

Popis súboru: application/pdf

Relation: https://doi.org/10.32604/ee.2025.063918

Dostupnosť: https://doi.org/10.32604/ee.2025.063918

Research on Time Synchronization Algorithm of High Precision and Low Power Consumption Based on IRBRS WSNs

Autori: MengYuan Chen ChangAn Zhu

Zdroj: Wireless Personal Communications. 95:2255-2270

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy, 12. Responsible consumption

Analysis and Prediction of the Real-time Load Characteristics of Power Grid with SVM Algorithm.

Autori: Qian, Xiao Shen, Liang Zou, Bo

Zdroj: Procedia Computer Science. 2025, Vol. 262, p403-410. 8p.

Predmety: Electric power distribution grids, Support vector machines, Energy consumption, Data analysis, Algorithms

Evaluating Energy-efficiency and Performance of Cloud-based Healthcare Systems Using Power-aware Algorithms: An Experimental Simulation Approach for Public Hospitals

Autori: Aschalew Arega Durga Prasad Sharma

Zdroj: International Journal of Information Technology and Computer Science. 17:72-96

An Algorithm to Predict E-Bike Power Consumption Based on Planned Routes

Autori: Burani E. Cabri G. Leoncini M.

Zdroj: Electronics; Volume 11; Issue 7; Pages: 1105

Predmety: 11. Sustainability, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, battery consumption, e-bikes, prediction algorithm, 02 engineering and technology, 7. Clean energy

Popis súboru: application/pdf

Forecasting China’s Renewable Energy Terminal Power Consumption Based on Empirical Mode Decomposition and an Improved Extreme Learning Machine Optimized by a Bacterial Foraging Algorithm

Autori: Peng Jiang Jun Dong Hui Huang

Zdroj: Energies, Vol 12, Iss 7, p 1331 (2019)

Predmety: renewable energy terminal power consumption, energy forecasting, grey theory, empirical mode decomposition, bacterial foraging algorithm, extreme learning machine algorithm, Technology

Popis súboru: electronic resource

Relation: https://www.mdpi.com/1996-1073/12/7/1331; https://doaj.org/toc/1996-1073

Prístupová URL adresa: https://doaj.org/article/e1445d8077e44df39ec7ac4cfd91ffd6

Abnormal behaviour analysis algorithm for electricity consumption based on density clustering

Autori: Min Xiang Tan Tong Yue Ma a ďalší

Zdroj: The Journal of Engineering (2019)

Predmety: abnormal behaviour analysis algorithm, power engineering computing, similar user electricity consumption model, similar users, load forecasting, pattern clustering, outlier electricity consumption, power consumption, electricity consumption characteristics, historical electricity consumption model, 02 engineering and technology, large-scale electrical load data, Engineering (General). Civil engineering (General), 7. Clean energy, electricity consumption data sequence, abnormal electricity consumption analysis method, 0202 electrical engineering, electronic engineering, information engineering, density clustering, abnormal electricity consumption behaviour, TA1-2040

Prístupová URL adresa: https://doaj.org/article/90ec3b1b228b453eb681ab63ff6a6098
https://digital-library.theiet.org/content/journals/10.1049/joe.2018.5123
https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/joe.2018.5123

An extended power consumption-based algorithm for communication-based applications

Autori: Ailixier Aikebaier Tomoya Enokido Makoto Takizawa

Zdroj: Journal of Ambient Intelligence and Humanized Computing. 2:263-270

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Power Consumption-Based Server Selection Algorithms for Communication-Based Systems

Autori: Ailixier Aikebaier S. Misbah Deen Tomoya Enokido a ďalší

Zdroj: 2010 13th International Conference on Network-Based Information Systems. :201-208

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

Prístupová URL adresa: http://ieeexplore.ieee.org/document/5635557/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005635557
https://ieeexplore.ieee.org/document/5635557/
https://doi.org/10.1109/NBiS.2010.80
https://dblp.uni-trier.de/db/conf/nbis/nbis2010.html#EnokidoATD10

An Algorithm for Reducing the Total Power Consumption Based on the Computation and Transmission Rates

Autori: Makoto Takizawa Ailixier Aikebaier Tomoya Enokido

Zdroj: 2011 International Conference on Complex, Intelligent, and Software Intensive Systems. :233-240

Predmety: 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy, 01 natural sciences

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/cisis/cisis2011.html#EnokidoAT11
http://ieeexplore.ieee.org/document/5989078/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005989078
https://ieeexplore.ieee.org/document/5989078/

Forecasting increasing rate of power consumption based on immune genetic algorithm combined with neural network

Autori: Shu-xia Yang

Zdroj: Journal of Central South University of Technology. 15:327-330

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 0101 mathematics, 01 natural sciences, 7. Clean energy

Prístupová URL adresa: https://en.cnki.com.cn/Article_en/CJFDTOTAL-ZNGY2008S2056.htm
https://link.springer.com/article/10.1007%2Fs11771-008-0481-1

Mechanism- and data-driven algorithms of electrical energy consumption accounting and prediction for medium and heavy plate rolling.

Autori: Guo, Qiang Zhou, Zimeng Li, Jie a ďalší

Zdroj: Electronic Research Archive; 2025, Vol. 33 Issue 1, p1-28, 28p

Predmety: ELECTRIC power, PREDICTION algorithms, ENERGY consumption, MANUFACTURING processes, RANDOM forest algorithms, BIG data