Suchergebnisse - "load forecasting algorithm"
-
1
Autoren:
Quelle: International Journal of Research Publication and Reviews. 6:5666-5676
-
2
Autoren: et al.
Quelle: Energy Science & Engineering, Vol 13, Iss 6, Pp 3243-3253 (2025)
Schlagwörter: power load forecast, Technology, Science, long short‐term memory, slime mould algorithm, Bisecting Kmeans
-
3
Autoren: et al.
Quelle: Journal of the Korean Institute of Illuminating and Electrical Installation Engineers. 39:128-135
-
4
Autoren:
Quelle: Journal of Electrical Engineering & Technology. 20:1183-1192
-
5
Autoren: et al.
Quelle: 2024 IEEE 25th China Conference on System Simulation Technology and its Application (CCSSTA). :727-731
-
6
Autoren:
Quelle: 2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). :1-5
-
7
Autoren: et al.
Quelle: 2024 International Conference on Electrical Drives, Power Electronics & Engineering (EDPEE). :949-953
-
8
Autoren: et al.
Quelle: 2024 4th Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS). :27-31
-
9
Autoren: et al.
Quelle: 2023 35th Chinese Control and Decision Conference (CCDC). :2123-2128
-
10
Autoren: et al.
Quelle: 2023 International Conference on Control, Communication and Computing (ICCC). :1-4
-
11
Autoren: et al.
Quelle: Journal of Harbin University of Science and Technology, Vol 29, Iss 02, Pp 121-129 (2024)
Schlagwörter: short-term load forecasting, variational mode decomposition, temporal convolutional network, maximum information coefficient, Technology, Science
Dateibeschreibung: electronic resource
-
12
Autoren: Lin Liu
Quelle: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031534003
-
13
Autoren: Qiushi Cao
Quelle: Highlights in Science, Engineering and Technology. 9:469-483
-
14
Autoren: et al.
Quelle: EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-13 (2023)
Schlagwörter: Data dimension expansion, Deep learning, Feature extraction, Load forecasting, Telecommunication, TK5101-6720, Electronics, TK7800-8360
Dateibeschreibung: electronic resource
Relation: https://doaj.org/toc/1687-6180
-
15
Autoren:
Quelle: Journal of the Korean Institute of Illuminating and Electrical Installation Engineers. 36:9-17
-
16
Autoren: et al.
Quelle: Journal of Sensors. 2022:1-14
Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy
Dateibeschreibung: text/xhtml
-
17
Autoren:
Quelle: 2021 IEEE International Conference on Artificial Intelligence and Industrial Design (AIID). :315-318
Schlagwörter: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy
-
18
Autoren:
Quelle: 2021 International Conference on Control Science and Electric Power Systems (CSEPS). :59-62
Schlagwörter: 7. Clean energy
-
19
Autoren: et al.
Quelle: 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). :1673-1678
Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Zugangs-URL: https://ieeexplore.ieee.org/document/9390726
-
20
Autoren:
Quelle: The transactions of The Korean Institute of Electrical Engineers. 70:1625-1632
Full Text Finder
Nájsť tento článok vo Web of Science