标题
Towards efficient and effective renewable energy prediction via deep learning
作者
关键词
-
出版物
Energy Reports
Volume 8, Issue -, Pages 10230-10243
出版商
Elsevier BV
发表日期
2022-08-19
DOI
10.1016/j.egyr.2022.08.009
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。- Boosting energy harvesting via deep learning-based renewable power generation prediction
- (2022) Zulfiqar Ahmad Khan et al. JOURNAL OF KING SAUD UNIVERSITY SCIENCE
- CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production
- (2022) Ali Agga et al. ELECTRIC POWER SYSTEMS RESEARCH
- Ultra‐short‐term multi‐step wind power forecasting based on CNN‐LSTM
- (2021) Qianyu Wu et al. IET Renewable Power Generation
- Deep learning neural networks for short-term photovoltaic power forecasting
- (2021) A. Mellit et al. RENEWABLE ENERGY
- Sequential Learning-Based Energy Consumption Prediction Model for Residential and Commercial Sectors
- (2021) Ijaz Ul Haq et al. Mathematics
- Multi-Meteorological-Factor-Based Graph Modeling for Photovoltaic Power Forecasting
- (2021) Lilin Cheng et al. IEEE Transactions on Sustainable Energy
- SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting
- (2021) Deniz Korkmaz APPLIED ENERGY
- A temporal distributed hybrid deep learning model for day-ahead distributed PV power forecasting
- (2021) Yinpeng Qu et al. APPLIED ENERGY
- MPF-Net: A computational multi-regional solar power forecasting framework
- (2021) Faiza Mehmood et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Short-term self consumption PV plant power production forecasts based on hybrid CNN-LSTM, ConvLSTM models
- (2021) Ali Agga et al. RENEWABLE ENERGY
- Non-intrusive load decomposition based on CNN–LSTM hybrid deep learning model
- (2021) Xinxin Zhou et al. Energy Reports
- Condition monitoring and performance forecasting of wind turbines based on denoising autoencoder and novel convolutional neural networks
- (2021) Xiongjie Jia et al. Energy Reports
- Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework
- (2020) Zulfiqar Ahmad Khan et al. SENSORS
- Very-Short-Term Power Prediction for PV Power Plants Using a Simple and Effective RCC-LSTM Model Based on Short Term Multivariate Historical Datasets
- (2020) Biaowei Chen et al. Electronics
- Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine
- (2020) Yi Zhou et al. ENERGY
- Deep learning methods and applications for electrical power systems: A comprehensive review
- (2020) Asiye K. Ozcanli et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea
- (2020) KiJeon Nam et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Multi-timescale Forecast of Solar Irradiance Based on Multi-task Learning and Echo State Network Approaches
- (2020) Zhou Wu et al. IEEE Transactions on Industrial Informatics
- Electrical Energy Prediction in Residential Buildings for Short-Term Horizons Using Hybrid Deep Learning Strategy
- (2020) Zulfiqar Ahmad Khan et al. Applied Sciences-Basel
- A short-term load forecasting model of multi-scale CNN-LSTM hybrid neural network considering the real-time electricity price
- (2020) Xifeng Guo et al. Energy Reports
- Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting
- (2019) Aasim et al. RENEWABLE ENERGY
- Electric Energy Consumption Prediction by Deep Learning with State Explainable Autoencoder
- (2019) Jin-Young Kim et al. Energies
- A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting
- (2019) Yan Hao et al. APPLIED ENERGY
- Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition
- (2019) Mumtaz Ali et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- On post-processing day-ahead NWP forecasts using Kalman filtering
- (2019) Dazhi Yang SOLAR ENERGY
- Predicting residential energy consumption using CNN-LSTM neural networks
- (2019) Tae-Young Kim et al. ENERGY
- Renewable energy prediction: A novel short-term prediction model of photovoltaic output power
- (2019) Ling-Ling Li et al. JOURNAL OF CLEANER PRODUCTION
- 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 review of deep learning for renewable energy forecasting
- (2019) Huaizhi Wang et al. ENERGY CONVERSION AND MANAGEMENT
- Photovoltaic power forecasting based LSTM-Convolutional Network
- (2019) Kejun Wang et al. ENERGY
- A novel convolutional neural network framework based solar irradiance prediction method
- (2019) Na Dong et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- 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
- The combined value of wind and solar power forecasting improvements and electricity storage
- (2018) Bri-Mathias Hodge et al. APPLIED ENERGY
- Integrated hydrogen supply networks for waste biogas upgrading and hybrid carbon-hydrogen pinch analysis under hydrogen demand uncertainty
- (2018) Soonho Hwangbo et al. APPLIED THERMAL ENGINEERING
- Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China
- (2018) Lifeng Wu et al. ENERGY
- One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data
- (2018) Xinyu Zhao et al. ENERGY CONVERSION AND MANAGEMENT
- Adaptive echo state network control for a class of pure-feedback systems with input and output constraints
- (2018) Qiang Chen et al. NEUROCOMPUTING
- 1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
- (2018) Osama Abdeljaber et al. NEUROCOMPUTING
- Real-time forecasting of wave heights using EOF – wavelet – neural network hybrid model
- (2018) Jihee Oh et al. OCEAN ENGINEERING
- A new method based on Type-2 fuzzy neural network for accurate wind power forecasting under uncertain data
- (2018) Amir Sharifian et al. RENEWABLE ENERGY
- Short-Term Spatio-Temporal Forecasting of Photovoltaic Power Production
- (2018) Xwegnon Ghislain Agoua et al. IEEE Transactions on Sustainable Energy
- A novel photovoltaic power forecasting model based on echo state network
- (2018) Xianshuang Yao et al. NEUROCOMPUTING
- Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting
- (2018) Fei Wang et al. ENERGY CONVERSION AND MANAGEMENT
- A novel system based on neural networks with linear combination framework for wind speed forecasting
- (2018) Jianzhou Wang et al. ENERGY CONVERSION AND MANAGEMENT
- A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting
- (2018) Ping Jiang et al. APPLIED ENERGY
- Assessing energy forecasting inaccuracy by simultaneously considering temporal and absolute errors
- (2017) Laura Frías-Paredes et al. ENERGY CONVERSION AND MANAGEMENT
- The path towards sustainable energy
- (2017) Steven Chu et al. NATURE MATERIALS
- Accurate photovoltaic power forecasting models using deep LSTM-RNN
- (2017) Mohamed Abdel-Nasser et al. NEURAL COMPUTING & APPLICATIONS
- Deep reservoir computing: A critical experimental analysis
- (2017) Claudio Gallicchio et al. NEUROCOMPUTING
- An overview of Afghanistan's trends toward renewable and sustainable energies
- (2017) Raheleh Rostami et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Building electrical energy consumption forecasting analysis using conventional and artificial intelligence methods: A review
- (2017) Mohammad Azhar Mat Daut et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
- (2016) Ravinesh C. Deo et al. APPLIED ENERGY
- Forecasting the load of electrical power systems in mid- and long-term horizons: a review
- (2016) Swasti R. Khuntia et al. IET Generation Transmission & Distribution
- Functional echo state network for time series classification
- (2016) Qianli Ma et al. INFORMATION SCIENCES
- Recursive wind speed forecasting based on Hammerstein Auto-Regressive model
- (2015) Othman Ait Maatallah et al. APPLIED ENERGY
- A hybrid wind speed forecasting model based on phase space reconstruction theory and Markov model: A case study of wind farms in northwest China
- (2015) Yun Wang et al. ENERGY
- Extended-power pinch analysis (EPoPA) for integration of renewable energy systems with battery/hydrogen storages
- (2015) Iman Janghorban Esfahani et al. RENEWABLE ENERGY
- A review of combined approaches for prediction of short-term wind speed and power
- (2014) A. Tascikaraoglu et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment
- (2010) Sultan Al-Yahyai et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Anomaly detection
- (2009) Varun Chandola et al. ACM COMPUTING SURVEYS
- Forecasting ocean wave energy: Tests of time-series models
- (2009) Gordon Reikard OCEAN ENGINEERING
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