A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids
出版年份 2021 全文链接
标题
A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids
作者
关键词
Energy forecasting, Renewable energy, Deep learning, Artificial neural networks, Machine learning
出版物
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 144, Issue -, Pages 110992
出版商
Elsevier BV
发表日期
2021-04-03
DOI
10.1016/j.rser.2021.110992
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Discriminative neural network pruning in a multiclass environment: A case study in spoken emotion recognition
- (2020) Máximo E. Sánchez-Gutiérrez et al. SPEECH COMMUNICATION
- System of systems uncertainty quantification using machine learning techniques with smart grid application
- (2020) Ali K. Raz et al. Systems Engineering
- Multiagent Reinforcement Learning for Energy Management in Residential Buildings
- (2020) Mehdi Ahrarinouri et al. IEEE Transactions on Industrial Informatics
- Short-Term Forecasting of Heat Demand of Buildings for Efficient and Optimal Energy Management Based on Integrated Machine Learning Models
- (2020) Abinet Tesfaye Eseye et al. IEEE Transactions on Industrial Informatics
- A Residual Load Modeling Approach for Household Short-Term Load Forecasting Application
- (2019) Fatima Amara et al. ENERGY AND BUILDINGS
- Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities
- (2019) Sana Mujeeb et al. Sustainability
- State of the Art of Machine Learning Models in Energy Systems, a Systematic Review
- (2019) Amir Mosavi et al. Energies
- Recurrent inception convolution neural network for multi short-term load forecasting
- (2019) Junhong Kim et al. ENERGY AND BUILDINGS
- Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting
- (2019) Gabriel Trierweiler Ribeiro et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network
- (2019) Kejun Wang et al. APPLIED ENERGY
- A review of deep learning for renewable energy forecasting
- (2019) Huaizhi Wang et al. ENERGY CONVERSION AND MANAGEMENT
- An Integrated DC Microgrid Solution for Electric Vehicle Fleet Management
- (2019) Maria Dicorato et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study
- (2019) Muhammad Aslam et al. Energies
- Comparing of deep neural networks and extreme learning machines based on growing and pruning approach
- (2019) Kemal Akyol EXPERT SYSTEMS WITH APPLICATIONS
- Multiagent-Based Transactive Energy Management Systems for Residential Buildings With Distributed Energy Resources
- (2019) Mohammad Sohrab Hasan Nizami et al. IEEE Transactions on Industrial Informatics
- Priority-Based Residential Energy Management With Collaborative Edge and Cloud Computing
- (2019) Linna Ruan et al. IEEE Transactions on Industrial Informatics
- A review of hierarchical control for building microgrids
- (2019) Daniela Yassuda Yamashita et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Intelligent Agent-Based Energy Management System for Islanded AC–DC Microgrids
- (2019) Moein Manbachi et al. IEEE Transactions on Industrial Informatics
- Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks
- (2018) Aowabin Rahman et al. APPLIED ENERGY
- The combined value of wind and solar power forecasting improvements and electricity storage
- (2018) Bri-Mathias Hodge et al. APPLIED ENERGY
- A survey of artificial neural network in wind energy systems
- (2018) Alberto Pliego Marugán et al. APPLIED ENERGY
- Microgrids energy management systems: A critical review on methods, solutions, and prospects
- (2018) Muhammad Fahad Zia et al. APPLIED ENERGY
- A Green Energy Application in Energy Management Systems by an Artificial Intelligence-Based Solar Radiation Forecasting Model
- (2018) Ping-Huan Kuo et al. Energies
- Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions
- (2018) Seyedeh Fallah et al. Energies
- Wind speed forecasting using nonlinear-learning ensemble of deep learning time series prediction and extremal optimization
- (2018) Jie Chen et al. ENERGY CONVERSION AND MANAGEMENT
- Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
- (2018) Hui Liu et al. ENERGY CONVERSION AND MANAGEMENT
- Computational intelligence approach for modeling hydrogen production: a review
- (2018) Sina Faizollahzadeh Ardabili et al. Engineering Applications of Computational Fluid Mechanics
- Survey of computational intelligence as basis to big flood management: challenges, research directions and future work
- (2018) Farnaz Fotovatikhah et al. Engineering Applications of Computational Fluid Mechanics
- Deep Learning for Intelligent Wireless Networks: A Comprehensive Survey
- (2018) Qian Mao et al. IEEE Communications Surveys and Tutorials
- Adaptive Learning Hybrid Model for Solar Intensity Forecasting
- (2018) Yu Wang et al. IEEE Transactions on Industrial Informatics
- A machine learning model for improving healthcare services on cloud computing environment
- (2018) Ahmed Abdelaziz et al. MEASUREMENT
- A review of data-driven approaches for prediction and classification of building energy consumption
- (2018) Yixuan Wei et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A review of data-driven building energy consumption prediction studies
- (2018) Kadir Amasyali et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Review on probabilistic forecasting of photovoltaic power production and electricity consumption
- (2018) D.W. van der Meer et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Toward Cost-Oriented Forecasting of Wind Power Generation
- (2018) Guo Li et al. IEEE Transactions on Smart Grid
- Short-Term Spatio-Temporal Forecasting of Photovoltaic Power Production
- (2018) Xwegnon Ghislain Agoua et al. IEEE Transactions on Sustainable Energy
- Towards Efficient Energy Management and Power Trading in a Residential Area via Integrating a Grid-Connected Microgrid
- (2018) Sheraz Aslam et al. Sustainability
- Ensemble Recurrent Neural Network Based Probabilistic Wind Speed Forecasting Approach
- (2018) Lilin Cheng et al. Energies
- A nonlinear hybrid wind speed forecasting model using LSTM network, hysteretic ELM and Differential Evolution algorithm
- (2018) Ya-Lan Hu et al. ENERGY CONVERSION AND MANAGEMENT
- Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine
- (2018) Xiwei Mi et al. ENERGY CONVERSION AND MANAGEMENT
- Probabilistic individual load forecasting using pinball loss guided LSTM
- (2018) Yi Wang et al. APPLIED ENERGY
- LSTM-EFG for wind power forecasting based on sequential correlation features
- (2018) Ruiguo Yu et al. Future Generation Computer Systems-The International Journal of eScience
- Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy
- (2018) Yanfei Li et al. RENEWABLE ENERGY
- Towards Efficient Energy Management of Smart Buildings Exploiting Heuristic Optimization with Real Time and Critical Peak Pricing Schemes
- (2017) Sheraz Aslam et al. Energies
- Residential Demand Response for Renewable Energy Resources in Smart Grid Systems
- (2017) Laihyuk Park et al. IEEE Transactions on Industrial Informatics
- An Accurate Method for MPPT to Detect the Partial Shading Occurrence in a PV System
- (2017) Jubaer Ahmed et al. IEEE Transactions on Industrial Informatics
- An Accurate and Fast Converging Short-Term Load Forecasting Model for Industrial Applications in a Smart Grid
- (2017) Ashfaq Ahmad et al. IEEE Transactions on Industrial Informatics
- Direct Quantile Regression for Nonparametric Probabilistic Forecasting of Wind Power Generation
- (2017) Can Wan et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Accurate photovoltaic power forecasting models using deep LSTM-RNN
- (2017) Mohamed Abdel-Nasser et al. NEURAL COMPUTING & APPLICATIONS
- Deep Neural Networks for Wind and Solar Energy Prediction
- (2017) David Díaz–Vico et al. NEURAL PROCESSING LETTERS
- A review and analysis of regression and machine learning models on commercial building electricity load forecasting
- (2017) B. Yildiz et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Application of load monitoring in appliances’ energy management – A review
- (2017) I. Abubakar et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Renewable energy: Present research and future scope of Artificial Intelligence
- (2017) Sunil Kr. Jha et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Forecasting of solar energy with application for a growing economy like India: Survey and implication
- (2017) Sthitapragyan Mohanty et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A Data-Driven Methodology for Probabilistic Wind Power Ramp Forecasting
- (2017) Mingjian Cui et al. IEEE Transactions on Smart Grid
- Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN
- (2017) Heng Shi et al. IEEE Transactions on Smart Grid
- Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network
- (2017) Weicong Kong et al. IEEE Transactions on Smart Grid
- Improving Renewable Energy Forecasting With a Grid of Numerical Weather Predictions
- (2017) Jose R. Andrade et al. IEEE Transactions on Sustainable Energy
- A new prediction model based on multi-block forecast engine in smart grid
- (2017) Noradin Ghadimi et al. Journal of Ambient Intelligence and Humanized Computing
- A deep learning framework for financial time series using stacked autoencoders and long-short term memory
- (2017) Wei Bao et al. PLoS One
- Deep belief network based electricity load forecasting: An analysis of Macedonian case
- (2016) Aleksandra Dedinec et al. ENERGY
- Big data driven smart energy management: From big data to big insights
- (2016) Kaile Zhou et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models
- (2016) Jianzhou Wang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- The Wind Integration National Dataset (WIND) Toolkit
- (2015) Caroline Draxl et al. APPLIED ENERGY
- Solar Energy Prediction: An International Contest to Initiate Interdisciplinary Research on Compelling Meteorological Problems
- (2015) Amy McGovern et al. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Artificial neural network based daily local forecasting for global solar radiation
- (2014) Badia Amrouche et al. APPLIED ENERGY
- A proposal for a site location planning model of environmentally friendly urban energy supply plants using an environment and energy geographical information system (E-GIS) database (DB) and an artificial neural network (ANN)
- (2014) In-Ae Yeo et al. APPLIED ENERGY
- Autoregressive with Exogenous Variables and Neural Network Short-Term Load Forecast Models for Residential Low Voltage Distribution Networks
- (2014) Christopher Bennett et al. Energies
- A hybrid forecasting model based on outlier detection and fuzzy time series – A case study on Hainan wind farm of China
- (2014) Jianzhou Wang et al. ENERGY
- A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings
- (2014) Luis Hernandez et al. IEEE Communications Surveys and Tutorials
- Prediction of Daily Global Solar Irradiation Using Temporal Gaussian Processes
- (2014) Sancho Salcedo-Sanz et al. IEEE Geoscience and Remote Sensing Letters
- Review on probabilistic forecasting of wind power generation
- (2014) Yao Zhang et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Performance evaluation of microbial fuel cell by artificial intelligence methods
- (2013) A. Garg et al. EXPERT SYSTEMS WITH APPLICATIONS
- Solar radiation prediction using Artificial Neural Network techniques: A review
- (2013) Amit Kumar Yadav et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Artificial neural networks for the generation of geothermal maps of ground temperature at various depths by considering land configuration
- (2012) Soteris A. Kalogirou et al. ENERGY
- Estimation of monthly solar radiation from measured temperatures using support vector machines – A case study
- (2010) Ji-Long Chen et al. RENEWABLE ENERGY
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