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。Electricity demand and price forecasting model for sustainable smart grid using comprehensive long short term memory
Israt Fatema et al.
INTERNATIONAL JOURNAL OF SUSTAINABLE ENGINEERING (2021)
Towards Electric Price and Load Forecasting Using CNN-Based Ensembler in Smart Grid
Shahzad Aslam et al.
SUSTAINABILITY (2021)
Energy time series forecasting-analytical and empirical assessment of conventional and machine learning models
Hala Hamdoun et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2021)
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
Jesus Lago et al.
APPLIED ENERGY (2021)
Exploratory Data Analysis Based Short-Term Electrical Load Forecasting: A Comprehensive Analysis
Umar Javed et al.
ENERGIES (2021)
Importance of the Long-Term Seasonal Component in Day-Ahead Electricity Price Forecasting Revisited: Parameter-Rich Models Estimated via the LASSO
Arkadiusz Jedrzejewski et al.
ENERGIES (2021)
Deep Learning-Based Forecasting Approach in Smart Grids With Microclustering and Bidirectional LSTM Network
Hamidreza Jahangir et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2021)
Electricity Spot Prices Forecasting Based on Ensemble Learning
Nadeela Bibi et al.
IEEE ACCESS (2021)
Short-Term Forecasting for the Electricity Spot Prices With Extreme Values Treatment
Ismail Shah et al.
IEEE ACCESS (2021)
Regularized quantile regression averaging for probabilistic electricity price forecasting
Bartosz Uniejewski et al.
ENERGY ECONOMICS (2021)
Beating the Naive-Combining LASSO with NaIve Intraday Electricity Price Forecasts
Grzegorz Marcjasz et al.
ENERGIES (2020)
A Comparative Analysis of Machine Learning Approaches for Short-/Long-Term Electricity Load Forecasting in Cyprus
Davut Solyali
SUSTAINABILITY (2020)
High-Resolution Electricity Spot Price Forecast for the Danish Power Market
Jannik Schutz Roungkvist et al.
SUSTAINABILITY (2020)
Weather biased optimal delta model for short-term load forecast
Manish Uppal et al.
IET SMART GRID (2020)
Forecasting next-day electricity demand and prices based on functional models
Francesco Lisi et al.
ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS (2020)
Forecasting of electricity price through a functional prediction of sale and purchase curves
Ismail Shah et al.
JOURNAL OF FORECASTING (2020)
Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique
Ismail Shah et al.
FORECASTING (2020)
Forecasting One-Day-Ahead Electricity Prices for Italian Electricity Market Using Parametric and Nonparametric Approaches
Ismail Shah et al.
IEEE ACCESS (2020)
A New Predictive Approach to Wide-Area Out-of-Step Protection
Sayyed Mohammad Hashemi et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Deep Learning-Based Multivariate Probabilistic Forecasting for Short-Term Scheduling in Power Markets
Jean-Francois Toubeau et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2019)
Explore a deep learning multi-output neural network for regional multi-step-ahead air quality forecasts
Yanlai Zhou et al.
JOURNAL OF CLEANER PRODUCTION (2019)
Deep Long Short-Term Memory: A New Price and Load Forecasting Scheme for Big Data in Smart Cities
Sana Mujeeb et al.
SUSTAINABILITY (2019)
Electricity price prediction based on hybrid model of adam optimized LSTM neural network and wavelet transform
Zihan Chang et al.
ENERGY (2019)
Short-Term Electricity Demand Forecasting Using Components Estimation Technique
Ismail Shah et al.
ENERGIES (2019)
Real-Time Identification of Power Fluctuations Based on LSTM Recurrent Neural Network: A Case Study on Singapore Power System
Shuli Wen et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2019)
Hybrid structures in time series modeling and forecasting: A review
Zahra Hajirahimi et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)
Deep Learning-Based Time-Varying Parameter Identification for System-Wide Load Modeling
Mingjian Cui et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting
Lulu Wen et al.
ENERGY (2019)
Artificial Intelligence in Industrial Systems
R. M. Palhares et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
A Novel Electricity Price Forecasting Approach Based on Dimension Reduction Strategy and Rough Artificial Neural Networks
Hamidreza Jahangir et al.
IEEE Transactions on Industrial Informatics (2019)
Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO
Bartosz Uniejewski et al.
INTERNATIONAL JOURNAL OF FORECASTING (2019)
Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid
Kun Wang et al.
IEEE TRANSACTIONS ON BIG DATA (2019)
An Optimized Heterogeneous Structure LSTM Network for Electricity Price Forecasting
Siyu Zhou et al.
IEEE ACCESS (2019)
Big Data and Its Key Technology in the Future
Xuewei Li et al.
COMPUTING IN SCIENCE & ENGINEERING (2018)
Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
Hui Liu et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Power Market Load Forecasting on Neural Network With Beneficial Correlated Regularization
Fang Yuan Xu et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
Recent advances in electricity price forecasting: A review of probabilistic forecasting
Jakub Nowotarski et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
Short-Term Electricity Price Forecasting With Stacked Denoising Autoencoders
Long Wang et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2017)
Electricity price forecasting by a hybrid model, combining wavelet transform, ARMA and kernel-based extreme learning machine methods
Zhang Yang et al.
APPLIED ENERGY (2017)
Forecasting day-ahead price spikes for the Ontario electricity market
Harmanjot Singh Sandhu et al.
ELECTRIC POWER SYSTEMS RESEARCH (2016)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
分享论文
