Electric vehicle charging load prediction based on variational mode decomposition and Prophet-LSTM
出版年份 2023 全文链接
标题
Electric vehicle charging load prediction based on variational mode decomposition and Prophet-LSTM
作者
关键词
-
出版物
Frontiers in Energy Research
Volume 11, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2023-11-03
DOI
10.3389/fenrg.2023.1297849
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。- Study on orderly charging strategy of EV with load forecasting
- (2023) Wanjun Yin et al. Energy
- Sensitivity analysis for forecasting Brazilian electricity demand using artificial neural networks and hybrid models based on Autoregressive Integrated Moving Average
- (2023) Ruan Luzia et al. Energy
- Short-Term Electrical Load Forecasting Based on VMD and GRU-TCN Hybrid Network
- (2022) Changchun Cai et al. Applied Sciences-Basel
- Research on the prediction of per capita coal consumption based on the ARIMA–BP combined model
- (2022) Xiaoli Wang Energy Reports
- Optimization scheme of wind energy prediction based on artificial intelligence
- (2021) Yagang Zhang et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Deep autoencoder with localized stochastic sensitivity for short-term load forecasting
- (2021) Ting Wang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Investigation of Performance of Electric Load Power Forecasting in Multiple Time Horizons With New Architecture Realized in Multivariate Linear Regression and Feed-Forward Neural Network Techniques
- (2020) M. Vetri Selvi et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- A New Hybrid Approach for Short-Term Electric Load Forecasting Applying Support Vector Machine with Ensemble Empirical Mode Decomposition and Whale Optimization
- (2019) Liu et al. Energies
- A regime-switching recurrent neural network model applied to wind time series
- (2019) Nikolay Y. Nikolaev et al. APPLIED SOFT COMPUTING
- Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review
- (2019) H.S. Das et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †
- (2018) Salah Bouktif et al. Energies
- Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods
- (2018) Erick Meira de Oliveira et al. ENERGY
- Robust Regression Models for Load Forecasting
- (2018) Jian Luo et al. IEEE Transactions on Smart Grid
- Can the development of electric vehicles reduce the emission of air pollutants and greenhouse gases in developing countries?
- (2017) Ya Wu et al. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
- Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm
- (2014) Saadat Bahrami et al. ENERGY
- 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.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now