A novel integrated photovoltaic power forecasting model based on variational mode decomposition and CNN-BiGRU considering meteorological variables
出版年份 2022 全文链接
标题
A novel integrated photovoltaic power forecasting model based on variational mode decomposition and CNN-BiGRU considering meteorological variables
作者
关键词
-
出版物
ELECTRIC POWER SYSTEMS RESEARCH
Volume 213, Issue -, Pages 108796
出版商
Elsevier BV
发表日期
2022-09-15
DOI
10.1016/j.epsr.2022.108796
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Hybrid short-term runoff prediction model based on optimal variational mode decomposition, improved Harris hawks algorithm and long short-term memory network
- (2022) Wei Sun et al. Environmental Research Communications
- Convolutional and recurrent neural network based model for short-term load forecasting
- (2021) Hosein Eskandari et al. ELECTRIC POWER SYSTEMS RESEARCH
- A new method for forecasting energy output of a large-scale solar power plant based on long short-term memory networks a case study in Vietnam
- (2021) Ninh Quang Nguyen et al. ELECTRIC POWER SYSTEMS RESEARCH
- Integrated framework of extreme learning machine (ELM) based on improved atom search optimization for short-term wind speed prediction
- (2021) Lei Hua et al. ENERGY CONVERSION AND MANAGEMENT
- A novel hybrid approach based on variational heteroscedastic Gaussian process regression for multi-step ahead wind speed forecasting
- (2021) Chu Zhang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A composite framework coupling multiple feature selection, compound prediction models and novel hybrid swarm optimizer-based synchronization optimization strategy for multi-step ahead short-term wind speed forecasting
- (2020) Wenlong Fu et al. ENERGY CONVERSION AND MANAGEMENT
- Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine
- (2020) Yi Zhou et al. ENERGY
- Multi-step ahead forecasting of regional air quality using spatial-temporal deep neural networks: A case study of Huaihai Economic Zone
- (2020) Kefei Zhang et al. JOURNAL OF CLEANER PRODUCTION
- A photovoltaic power forecasting model based on dendritic neuron networks with the aid of wavelet transform
- (2020) Tengfei Zhang et al. NEUROCOMPUTING
- Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting
- (2020) Tian Peng et al. RENEWABLE ENERGY
- A compound framework for wind speed forecasting based on comprehensive feature selection, quantile regression incorporated into convolutional simplified long short-term memory network and residual error correction
- (2020) Kai Wang et al. ENERGY CONVERSION AND MANAGEMENT
- Deterministic and probabilistic multi-step forecasting for short-term wind speed based on secondary decomposition and a deep learning method
- (2020) Ling Xiang et al. ENERGY CONVERSION AND MANAGEMENT
- Photovoltaic power forecasting based on a support vector machine with improved ant colony optimization
- (2020) Mingzhang Pan et al. JOURNAL OF CLEANER PRODUCTION
- A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm
- (2019) Feifei He et al. APPLIED ENERGY
- A PV power interval forecasting based on seasonal model and nonparametric estimation algorithm
- (2019) Yutong Han et al. SOLAR ENERGY
- A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network
- (2019) Kejun Wang et al. APPLIED ENERGY
- A hybrid deep learning model for short-term PV power forecasting
- (2019) Pengtao Li et al. APPLIED ENERGY
- A hybrid VMD–BiGRU model for rubber futures time series forecasting
- (2019) Qing Zhu et al. APPLIED SOFT COMPUTING
- Prediction short-term photovoltaic power using improved chicken swarm optimizer - Extreme learning machine model
- (2019) Zhi-Feng Liu et al. JOURNAL OF CLEANER PRODUCTION
- Enhanced state estimation and bad data identification in active power distribution networks using photovoltaic power forecasting
- (2019) Gang Cheng et al. ELECTRIC POWER SYSTEMS RESEARCH
- An adaptive hybrid model for day-ahead photovoltaic output power prediction
- (2019) Jinliang Zhang et al. JOURNAL OF CLEANER PRODUCTION
- Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression
- (2019) Hui Liu et al. RENEWABLE ENERGY
- Optimal Energy Storage System Operation for Peak Reduction in a Distribution Network Using a Prediction Interval
- (2019) Daisuke Kodaira et al. IEEE Transactions on Smart Grid
- Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning
- (2019) Haixiang Zang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction
- (2019) Ruoheng Wang et al. IEEE Transactions on Neural Networks and Learning Systems
- Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction
- (2018) Emina Alickovic et al. Biomedical Signal Processing and Control
- A decomposition-clustering-ensemble learning approach for solar radiation forecasting
- (2018) Shaolong Sun et al. SOLAR ENERGY
- Short-Term Spatio-Temporal Forecasting of Photovoltaic Power Production
- (2018) Xwegnon Ghislain Agoua et al. IEEE Transactions on Sustainable Energy
- Hybrid method for short-term photovoltaic power forecasting based on deep convolutional neural network
- (2018) Haixiang Zang et al. IET Generation Transmission & Distribution
- Forecast of hourly global horizontal irradiance based on structured Kernel Support Vector Machine: A case study of Tibet area in China
- (2017) He Jiang et al. ENERGY CONVERSION AND MANAGEMENT
- Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network
- (2017) Huaizhi Wang et al. ENERGY CONVERSION AND MANAGEMENT
- A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting
- (2017) Chu Zhang et al. ENERGY CONVERSION AND MANAGEMENT
- An improved Wavelet Transform using Singular Spectrum Analysis for wind speed forecasting based on Elman Neural Network
- (2017) Chuanjin Yu et al. ENERGY CONVERSION AND MANAGEMENT
- Accurate photovoltaic power forecasting models using deep LSTM-RNN
- (2017) Mohamed Abdel-Nasser et al. NEURAL COMPUTING & APPLICATIONS
- Use of Multilinear Adaptive Regression Splines and numerical weather prediction to forecast the power output of a PV plant in Borkum, Germany
- (2017) Luca Massidda et al. SOLAR ENERGY
- Streamflow Forecasting Using Empirical Wavelet Transform and Artificial Neural Networks
- (2017) Tian Peng et al. Water
- Univariate and multivariate methods for very short-term solar photovoltaic power forecasting
- (2016) Mashud Rana et al. ENERGY CONVERSION AND MANAGEMENT
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now