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G

Grzegorz Dudek

Częstochowa University of Technology

23H指数
146论文数
2.2K被引数
收录论文 29
发表时间
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Short-Term Electricity Price Forecasting: A Review of Point Forecasting Methods, Metrics, and Empirical Evaluation短期电价预测：点预测方法、指标和实证评价的综述
errEnergies
IF3.2
err2026-08-31
err0
errOAAI
errPaweł Piotrowski; Marcin Kopyt; Grzegorz Dudek; Dariusz Baczyński
err分享
err收藏
Recent Advances in Probabilistic Electricity Price Forecasting: A Review of Methods and Evaluation Metrics概率电价预测的最新进展：方法与评估指标的综述
errEnergies
IF3.2
err2026-07-29
err0
errOAAI
errGrzegorz Dudek; Paweł Piotrowski; Marcin Kopyt; Dariusz Baczyński
err分享
err收藏
HKAN: Hierarchical Kolmogorov-Arnold network without backpropagationHKAN: 无反向传播的分层科莫哥洛夫-阿诺德网络
errNeural Networks
IF6.3
err2026-03-05
err0
PREAI
errGrzegorz Dudek; Tomasz Rodak
err分享
err收藏
Artificial Intelligence and Machine Learning Models for Forecasting, Optimization, and Control in Smart Energy Systems用于智能能源系统预测、优化和控制的人工智能和机器学习模型
errEnergies
IF3.2
err2026-02-02
err0
errOAAI
errGrzegorz Dudek; Marcin Blachnik
err分享
err收藏
Advances in Machine Learning: Emerging Methods and Real-World Applications机器学习进展：新兴方法与实际应用
errApplied Sciences-Basel
IF2.5
err2025-12-31
err0
errOAAI
errDudek, Grzegorz
err分享
err收藏
Identification of Bitcoin volatility drivers using statistical and machine learning methods使用统计和机器学习方法识别比特币波动性驱动因素
errApplied Soft Computing
IF6.6
err2025-12-13
err0
errOAAI
errPiotr Fiszeder; Witold Orzeszko; Radosław Pietrzyk; Grzegorz Dudek
err分享
err收藏
Multivariate forecasting of bitcoin volatility with gradient boosting: Deterministic, probabilistic, and feature importance perspectives基于梯度提升的比特币波动率多变量预测：确定性、概率性及特征重要性视角
errExpert Systems with Applications
IF7.5
err2025-11-19
err0
PREAI
errGrzegorz Dudek; Mateusz Kasprzyk; Paweł Pełka
err分享
err收藏
Any-quantile probabilistic forecasting of short-term electricity demand: Fusing uncertainties from diverse sources短期电力需求的任意分位数概率预测：融合多源不确定性
errInformation Fusion
IF15.5
err2025-09-23
err0
errOAAI
errSlawek Smyl; Boris N. Oreshkin; Paweł Pełka; Grzegorz Dudek
err分享
err收藏
Enhanced N-BEATS for mid-term electricity demand forecasting改进的N-BEATS用于中期电力需求预测
errApplied Soft Computing
IF6.6
err2025-07-21
err0
errOAAI
errMateusz Kasprzyk; Paweł Pełka; Boris N. Oreshkin; Grzegorz Dudek
err分享
err收藏
Computational Intelligence and Machine Learning: Advances in Models and Applications计算智能与机器学习：模型与应用进展
errELECTRONICS
IF2.6
err2025-04-10
err0
errOAAI
errDudek, G
err分享
err收藏
ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2024-08-01
err10
errOAAI
errSmyl, Slawek; Dudek, Grzegorz; Pelka, Pawel
err分享
err收藏
Forecasting cryptocurrencies volatility using statistical and machine learning methods: A comparative study
errAPPLIED SOFT COMPUTING
IF6.6
err2024-01-01
err7
errOAAI
errDudek, Grzegorz; Fiszeder, Piotr; Kobus, Pawel; Orzeszko, Witold
err分享
err收藏
Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting
errNEURAL NETWORKS
IF6.3
err2024-01-01
err8
errOAAI
errSmyl, Slawek; Dudek, Grzegorz; Pelka, Pawel
err分享
err收藏
STD: A Seasonal-Trend-Dispersion Decomposition of Time SeriesSTD: 时间序列的季节-趋势-离散分解
errIEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
IF10.4
err2023-10-01
err15
errOAAI
errDudek, Grzegorz
err分享
err收藏
A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting用于中期电力负荷预测的混合残差扩张LSTM和指数平滑模型
errIEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
IF8.9
err2022-07-01
err97
errOAAI
errDudek, Grzegorz; Pelka, Pawel; Smyl, Slawek
err分享
err收藏
A constructive approach to data-driven randomized learning for feedforward neural networks
errAPPLIED SOFT COMPUTING
IF6.6
err2021-11-01
err6
errOAAI
errDudek, Grzegorz
err分享
err收藏
N-BEATS neural network for mid-term electricity load forecasting用于中期电力负荷预测的n-beats神经网络
errAPPLIED ENERGY
IF11
err2021-07-01
err112
errOAAI
errOreshkin, Boris N.; Dudek, Grzegorz; Pelka, Pawel; Turkina, Ekaterina
err分享
err收藏
Pattern similarity-based machine learning methods for mid-term load forecasting: A comparative study基于模式相似性的中期负荷预测机器学习方法的比较研究
errAPPLIED SOFT COMPUTING
IF6.6
err2021-06-01
err29
errOAAI
errDudek, Grzegorz; Pelka, Pawel
err分享
err收藏
Artificial Immune System With Local Feature Selection for Short-Term Load Forecasting
errIEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
IF12
err2017-02-01
err39
PREAI
errDudek, Grzegorz
err分享
err收藏
Neural networks for pattern-based short-term load forecasting: A comparative study
errNEUROCOMPUTING
IF6.5
err2016-09-01
err77
PREAI
errDudek, Grzegorz
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
E
Ekaterina Turkina
H 指数: 19 · 论文数: 113
B
Boris N. Oreshkin
H 指数: 18 · 论文数: 86
M
Marcin Blachnik
H 指数: 16 · 论文数: 78
P
Piotr Fiszeder
H 指数: 14 · 论文数: 65
P
Paweł Pełka
H 指数: 11 · 论文数: 38
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