An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting
出版年份 2021 全文链接
标题
An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting
作者
关键词
Solar radiation forecasting, Deep learning, BiLSTM, Sine cosine algorithm, CEEMDAN
出版物
ENERGY
Volume 221, Issue -, Pages 119887
出版商
Elsevier BV
发表日期
2021-01-18
DOI
10.1016/j.energy.2021.119887
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。- The short-term interval prediction of wind power using the deep learning model with gradient descend optimization
- (2020) Chaoshun Li et al. RENEWABLE ENERGY
- A double decomposition-based modelling approach to forecast weekly solar radiation
- (2020) Ramendra Prasad et al. RENEWABLE ENERGY
- Negative correlation learning-based RELM ensemble model integrated with OVMD for multi-step ahead wind speed forecasting
- (2020) Tian Peng et al. RENEWABLE ENERGY
- Reliable Solar Irradiance Forecasting Approach Based on Choquet Integral and Deep LSTMs
- (2020) Mohamed Abdel-Nasser et al. IEEE Transactions on Industrial Informatics
- Time Series ARIMA Model for Prediction of Daily and Monthly Average Global Solar Radiation: The Case Study of Seoul, South Korea
- (2019) Mohammed Alsharif et al. Symmetry-Basel
- Forecasting Daily Solar Radiation Using CEEMDAN Decomposition-Based MARS Model Trained by Crow Search Algorithm
- (2019) Mohammad Rezaie-Balf et al. Energies
- Multi-step short-term wind speed forecasting approach based on multi-scale dominant ingredient chaotic analysis, improved hybrid GWO-SCA optimization and ELM
- (2019) Wenlong Fu et al. ENERGY CONVERSION AND MANAGEMENT
- Novel stochastic methods to predict short-term solar radiation and photovoltaic power
- (2019) Jin Dong et al. RENEWABLE ENERGY
- Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting
- (2019) Shouxiang Wang et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China
- (2019) Ji-Long Chen et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Comparison of BP, PSO-BP and statistical models for predicting daily global solar radiation in arid Northwest China
- (2019) Yixuan Zhang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Wind speed prediction method based on Empirical Wavelet Transform and New Cell Update Long Short-Term Memory network
- (2019) Shaoqian Pei et al. ENERGY CONVERSION AND MANAGEMENT
- A hybrid electricity price forecasting model with Bayesian optimization for German energy exchange
- (2019) Hangyang Cheng et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Ensemble spatiotemporal forecasting of solar irradiation using variational Bayesian convolutional gate recurrent unit network
- (2019) Yongqi Liu et al. APPLIED ENERGY
- Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms
- (2019) Sujan Ghimire et al. APPLIED ENERGY
- Multi-objective data-ensemble wind speed forecasting model with stacked sparse autoencoder and adaptive decomposition-based error correction
- (2019) Hui Liu et al. APPLIED ENERGY
- Estimation of hourly global solar radiation using Multivariate Adaptive Regression Spline (MARS) – A case study of Hong Kong
- (2019) Danny H.W. Li et al. ENERGY
- Evaluation of temperature-based machine learning and empirical models for predicting daily global solar radiation
- (2019) Yu Feng et al. ENERGY CONVERSION AND MANAGEMENT
- Wavelet-based 3-phase hybrid SVR model trained with satellite-derived predictors, particle swarm optimization and maximum overlap discrete wavelet transform for solar radiation prediction
- (2019) Sujan Ghimire et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Constructing a PM2.5 concentration prediction model by combining auto-encoder with Bi-LSTM neural networks
- (2019) Bo Zhang et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Machine learning models to quantify and map daily global solar radiation and photovoltaic power
- (2019) Yu Feng et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions
- (2019) Junliang Fan et al. RENEWABLE ENERGY
- Evaluation and development of temperature-based empirical models for estimating daily global solar radiation in humid regions
- (2018) Junliang Fan et al. ENERGY
- Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM
- (2018) Xiangyun Qing et al. ENERGY
- A New Radiative Transfer Method for Solar Radiation in a Vertically Internally Inhomogeneous Medium
- (2018) Feng Zhang et al. JOURNAL OF THE ATMOSPHERIC SCIENCES
- Assessment of machine learning techniques for deterministic and probabilistic intra-hour solar forecasts
- (2018) Hugo T.C. Pedro et al. RENEWABLE ENERGY
- A decomposition-clustering-ensemble learning approach for solar radiation forecasting
- (2018) Shaolong Sun et al. SOLAR ENERGY
- Development of empirical models for estimation of global solar radiation exergy in India
- (2018) Basharat Jamil et al. JOURNAL OF CLEANER PRODUCTION
- Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation
- (2018) Ramendra Prasad et al. APPLIED ENERGY
- Global horizontal radiation forecast using forward regression on a quadratic kernel support vector machine: Case study of the Tibet Autonomous Region in China
- (2017) He Jiang et al. ENERGY
- Hourly forecasting of global solar radiation based on multiscale decomposition methods: A hybrid approach
- (2017) Stéphanie Monjoly et al. ENERGY
- 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
- Multi-step ahead wind speed forecasting using a hybrid model based on two-stage decomposition technique and AdaBoost-extreme learning machine
- (2017) Tian Peng et al. ENERGY CONVERSION AND MANAGEMENT
- Evaluation and development of empirical models for estimating daily solar radiation
- (2017) Babak Jahani et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Streamflow Forecasting Using Empirical Wavelet Transform and Artificial Neural Networks
- (2017) Tian Peng et al. Water
- On practical challenges of decomposition-based hybrid forecasting algorithms for wind speed and solar irradiation
- (2016) Yamin Wang et al. ENERGY
- A nonlinear support vector machine model with hard penalty function based on glowworm swarm optimization for forecasting daily global solar radiation
- (2016) He Jiang et al. ENERGY CONVERSION AND MANAGEMENT
- SCA: A Sine Cosine Algorithm for solving optimization problems
- (2016) Seyedali Mirjalili KNOWLEDGE-BASED SYSTEMS
- Estimation of the daily global solar radiation based on Box–Jenkins and ANN models: A combined approach
- (2016) Kacem Gairaa et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Empirical investigation on modeling solar radiation series with ARMA–GARCH models
- (2015) Huaiwei Sun et al. ENERGY CONVERSION AND MANAGEMENT
- Analysis of daily solar power prediction with data-driven approaches
- (2014) Huan Long et al. APPLIED ENERGY
- Solar radiation prediction using Artificial Neural Network techniques: A review
- (2013) Amit Kumar Yadav et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation
- (2012) Cyril Voyant et al. ENERGY
Add 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 NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started