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Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach
期刊论文
ENERGY, 2023, 卷号: 263, 页码: 16
作者:
Yang, Dongchuan
;
Guo, Ju-e
;
Li, Yanzhao
;
Sun, Shaolong
;
Wang, Shouyang
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/02/07
Short -term load forecasting
Time series modeling
Dynamic decomposition-reconstruction tech
nique
Neural networks
A novel short-term load forecasting method based on mini-batch stochastic gradient descent regression model
期刊论文
Electric Power Systems Research, 2022, 卷号: 211
作者:
Lizhen, Wu
;
Yifan, Zhao
;
Gang, Wang
;
Xiaohong, Hao
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2022/07/20
Batch data processing
Big data
Electric power plant loads
Forecasting
Gradient methods
K-means clustering
Regression analysis
Stochastic models
Big data analyze
Distributed parallel computing
Load forecasting
Map-reduce
Map-reduce framework
Mini-batch stochastic gradient descent
Regression modelling
Short term load forecasting
Stochastic gradient descent
Stochastic gradient descent algorithm
A stacking-based short-term wind power forecasting method by CBLSTM and ensemble learning
期刊论文
Journal of Renewable and Sustainable Energy, 2022, 卷号: 14, 期号: 4
作者:
Wang, Nier
;
Li, Zhanming
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/09/22
Data handling
Decision trees
Electric load dispatching
Machine learning
Weather forecasting
Wind farm
Ensemble learning
Forecasting methods
Large amounts
Multi-model combination
Processing capacities
Short-term wind power forecasting
Stacking framework
Stackings
Times series
An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting
期刊论文
APPLIED ENERGY, 2022, 卷号: 306, 页码: 16
作者:
Yang, Dongchuan
;
Guo, Ju-E
;
Sun, Shaolong
;
Han, Jing
;
Wang, Shouyang
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/04/02
Short-term load forecasting
Bivariate empirical mode decomposition
Decomposition-ensemble approach
Reconstruction
Bayesian optimization
Long short-term memory network
A New CIGWO-Elman Hybrid Model for Power Load Forecasting
期刊论文
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2021, 卷号: 17, 期号: 2, 页码: 1319-1333
作者:
Hao, Jie
;
Zhu, Changsheng
;
Guo, Xiuting
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  |  
浏览/下载:11/0
  |  
提交时间:2021/12/17
Chaotic sequence
CIGWO-Elman
Feedback coefficient
Inertia weight
PSO
Power load forecasting
Random cosine function
A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model
期刊论文
MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 卷号: 2020
作者:
Wu, Lizhen
;
Kong, Chun
;
Hao, Xiaohong
;
Chen, Wei
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  |  
浏览/下载:14/0
  |  
提交时间:2020/06/16
Clustering algorithms
Complex networks
Convolutional neural networks
Electric power plant loads
Forecasting
Mean square error
Short-term load forecasting of long-short term memory neural network based on genetic algorithm
会议论文
Wuhan, China, October 30 - November 1, 2020
作者:
Li WT(李婉婷)
;
Zang CZ(臧传治)
;
Liu D(刘鼎)
;
Zeng P(曾鹏)
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/03/14
load forecasting
long-short term neural networks
genetic algorithm
learning rate
iteration number
Short-term electricity load forecasting using a mapreduce-based elman networks with coarse-grained parallel genetic optimization
会议论文
Dali, China, December 6, 2019 - December 8, 2019
作者:
Bao, Guangqing
;
Liu, Fuchao
;
He, Xin
;
Zhang, Gang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2020/11/15
Agricultural robots
Biomimetics
Efficiency
Electric power plant loads
Forecasting
Genetic algorithms
Neural networks
Robotics
Coarse-grained parallels
Electrical load forecasting
Elman neural network
Elman neural networks (ENN)
Map-reduce
Meteorological information
Short-term electrical loads
Short-term electricity load forecasting
A fast algorithm for short term electric load forecasting by a hidden semi-markov process
期刊论文
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2019, 卷号: 89, 页码: 831-843
作者:
Duan, Qihong
;
Liu, Junrong
;
Zhao, Dengfu
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  |  
浏览/下载:10/0
  |  
提交时间:2019/11/19
empirical probability function
hidden Markov models
Load forecasting
change point
ECM algorithm
Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting
期刊论文
International Journal of Electrical Power and Energy Systems, 2019, 卷号: Vol.109, 页码: 470-479
作者:
Wang, S.
;
Wang, X.
;
Wang, D.
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  |  
浏览/下载:58/0
  |  
提交时间:2019/11/21
Artificial intelligence
Attention mechanism
Bi-directional long short-term memory
Deep learning
Load forecasting
Rolling update
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