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。Optimal Voltage Control in Distribution Systems With Intermittent PV Using Multiobjective Grey-Wolf-Levy Optimizer
Karar Mahmoud et al.
IEEE SYSTEMS JOURNAL (2020)
Convolutional Graph Autoencoder: A Generative Deep Neural Network for Probabilistic Spatio-Temporal Solar Irradiance Forecasting
Mandi Khodayar et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2020)
Accurate photovoltaic power forecasting models using deep LSTM-RNN
Mohamed Abdel-Nasser et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation
Ramendra Prasad et al.
APPLIED ENERGY (2019)
Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components
L. Benali et al.
RENEWABLE ENERGY (2019)
An Ensemble Framework for Day-Ahead Forecast of PV Output Power in Smart Grids
Muhammad Qamar Rene et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
An LSTM Short-Term Solar Irradiance Forecasting Under Complicated Weather Conditions
Yunjun Yu et al.
IEEE ACCESS (2019)
Day-Ahead Hourly Forecasting of Solar Generation Based on Cluster Analysis and Ensemble Model
Cheng Pan et al.
IEEE ACCESS (2019)
An ensemble of LSTM neural networks for high-frequency stock market classification
Svetlana Borovkova et al.
JOURNAL OF FORECASTING (2019)
Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM
Xiangyun Qing et al.
ENERGY (2018)
Forecasting methods in energy planning models
Kumar Biswajit Debnath et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
Review on probabilistic forecasting of photovoltaic power production and electricity consumption
D. W. van der Meer et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
A Short-Term Photovoltaic Power Prediction Model Based on the Gradient Boost Decision Tree
Jidong Wang et al.
APPLIED SCIENCES-BASEL (2018)
Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?
Michelangelo Ceci et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)
Probabilistic Forecasting of Photovoltaic Generation: An Efficient Statistical Approach
Can Wan et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2017)
Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power
S. Leva et al.
MATHEMATICS AND COMPUTERS IN SIMULATION (2017)
An ensemble prediction intervals approach for short-term PV power forecasting
Qiang Ni et al.
SOLAR ENERGY (2017)
LSTM: A Search Space Odyssey
Klaus Greff et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)
A Probabilistic Competitive Ensemble Method for Short-Term Photovoltaic Power Forecasting
Antonio Bracale et al.
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (2017)
Short-term Photovoltaic Generation Forecasting Based on Similar Day Selection and Extreme Learning Machine
Ping Luo et al.
2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (2017)
Day-ahead forecasting of photovoltaic output power with similar cloud space fusion based on incomplete historical data mining
Xiuyuan Yang et al.
APPLIED ENERGY (2017)
Very Short-Term Nonparametric Probabilistic Forecasting of Renewable Energy Generation-With Application to Solar Energy
Faranak Golestaneh et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2016)
New advanced method and cost-based indices applied to probabilistic forecasting of photovoltaic generation
Antonio Bracale et al.
JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY (2016)
Solar-wind hybrid renewable energy system: A review
Vikas Khare et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)
Mapping of the Solar Irradiance in the UAE Using Advanced Artificial Neural Network Ensemble
Mohammad H. Alobaidi et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)
Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization - Extreme Learning Machine approach
S. Salcedo-Sanz et al.
SOLAR ENERGY (2014)
Solar radiation forecast based on fuzzy logic and neural networks
S. X. Chen et al.
RENEWABLE ENERGY (2013)
Aggregating multiple classification results using Choquet integral for financial distress early warning
Yu Cao
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting
Giacomo Capizzi et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2012)
分享论文
