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。A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting
Grzegorz Dudek et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2022)
Sustainable Deep Learning at Grid Edge for Real-Time High Impedance Fault Detection
Tharmakulasingam Sirojan et al.
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING (2022)
Machine Learning Techniques Applied to On-Line Voltage Stability Assessment: A Review
Mohammed Amroune
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)
Real-time static voltage stability assessment in large-scale power systems based on spectrum estimation of phasor measurement unit data
Fan Yang et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)
Ensemble machine learning models for the detection of energy theft
Sravan Kumar Gunturi et al.
ELECTRIC POWER SYSTEMS RESEARCH (2021)
A Data-Driven and Data-Based Framework for Online Voltage Stability Assessment Using Partial Mutual Information and Iterated Random Forest
Songkai Liu et al.
ENERGIES (2021)
Coordinated Topology Attacks in Smart Grid Using Deep Reinforcement Learning
Zhenhua Wang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Distributed Deep Reinforcement Learning for Intelligent Load Scheduling in Residential Smart Grids
Hwei-Ming Chung et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
Mid-term electricity load prediction using CNN and Bi-LSTM
M. Junaid Gul et al.
JOURNAL OF SUPERCOMPUTING (2021)
Machine Committee Framework for Power Grid Disturbances Analysis Using Synchrophasors Data
Haoran Niu et al.
SMART CITIES (2021)
Analysis of classical and machine learning based short-term and mid-term load forecasting for smart grid
Sneha Rai et al.
INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY (2021)
Improved performance of detection and classification of 3-phase transmission line faults based on discrete wavelet transform and double-channel extreme learning machine
Ejaz Ul Haq et al.
ELECTRICAL ENGINEERING (2021)
Evaluating smart grid renewable energy accommodation capability with uncertain generation using deep reinforcement learning
Yongnan Liu et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
A whale optimization algorithm-trained artificial neural network for smart grid cyber intrusion detection
Lida Haghnegandar et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Short-Term Load Forecasting with Improved CEEMDAN and GWO-Based Multiple Kernel ELM
Taiyong Li et al.
COMPLEXITY (2020)
Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting
Salah Bouktif et al.
ENERGIES (2020)
Transient stability assessment combined model framework based on cost-sensitive method
Huaiyuan Wang et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2020)
Mid-term electricity load forecasting by a new composite method based on optimal learning MLP algorithm
Mostafa Askari et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2020)
Convolutional neural network-based power system transient stability assessment and instability mode prediction
Zhongtuo Shi et al.
APPLIED ENERGY (2020)
A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction
Ming Dong et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
A proposed intelligent short-term load forecasting hybrid models of ANN, WNN and KF based on clustering techniques for smart grid
Hamed H. H. Aly
ELECTRIC POWER SYSTEMS RESEARCH (2020)
Unsupervised feature learning for online voltage stability evaluation and monitoring based on variational autoencoder
Haosen Yang et al.
ELECTRIC POWER SYSTEMS RESEARCH (2020)
Cyber-Attack Recovery Strategy for Smart Grid Based on Deep Reinforcement Learning
Fanrong Wei et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
LiPSG: Lightweight Privacy-Preserving Q-Learning-Based Energy Management for the IoT-Enabled Smart Grid
Zhuzhu Wang et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid
Ghulam Hafeez et al.
APPLIED ENERGY (2020)
Machine learning driven smart electric power systems: Current trends and new perspectives
Muhammad Sohail Ibrahim et al.
APPLIED ENERGY (2020)
Combination of short-term load forecasting models based on a stacking ensemble approach
Jihoon Moon et al.
ENERGY AND BUILDINGS (2020)
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Alejandro Barredo Arrieta et al.
INFORMATION FUSION (2020)
Construction of decision tree based on C4.5 algorithm for online voltage stability assessment
Xiangfei Meng et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)
State-of-the-Art Artificial Intelligence Techniques for Distributed Smart Grids: A Review
Syed Saqib Ali et al.
ELECTRONICS (2020)
Cyber security for fog-based smart grid SCADA systems: Solutions and challenges
Mohamed Amine Ferrag et al.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS (2020)
Detecting stealthy false data injection attacks in the smart grid using ensemble-based machine learning
Mohammad Ashrafuzzaman Das et al.
COMPUTERS & SECURITY (2020)
Artificial neural network based photovoltaic fault detection algorithm integrating two bi-directional input parameters
Muhammed Hussain et al.
RENEWABLE ENERGY (2020)
Support Vector Machine-Based Islanding and Grid Fault Detection in Active Distribution Networks
Hamid Reza Baghaee et al.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS (2020)
Detecting false data attacks using machine learning techniques in smart grid: A survey
Lei Cui et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2020)
Denoising Autoencoder-Based Missing Value Imputation for Smart Meters
Seunghyoung Ryu et al.
IEEE ACCESS (2020)
Accurate photovoltaic power forecasting models using deep LSTM-RNN
Mohamed Abdel-Nasser et al.
NEURAL COMPUTING & APPLICATIONS (2019)
Long-term load forecasting: models based on MARS, ANN and LR methods
Gamze Nalcaci et al.
CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH (2019)
Stacked sparse autoencoder with PCA and SVM for data-based line trip fault diagnosis in power systems
Yixing Wang et al.
NEURAL COMPUTING & APPLICATIONS (2019)
High impedance fault protection scheme for smart grids based on WPT and ELM considering evolving and cross-country faults
Saeed AsghariGovar et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
Real-Time Power System State Estimation and Forecasting via Deep Unrolled Neural Networks
Liang Zhang et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2019)
Midterm Power Load Forecasting Model Based on Kernel Principal Component Analysis and Back Propagation Neural Network with Particle Swarm Optimization
Zhao Liu et al.
BIG DATA (2019)
Ensemble of relevance vector machines and boosted trees for electricity price forecasting
Rahul Kumar Agrawal et al.
APPLIED ENERGY (2019)
The Recent Development of Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
Miltiadis D. Lytras et al.
ENERGIES (2019)
Machine learning-based statistical testing hypothesis for fault detection in photovoltaic systems
R. Fazai et al.
SOLAR ENERGY (2019)
A Multistage Game in Smart Grid Security: A Reinforcement Learning Solution
Zhen Ni et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2019)
Weather-Classification-MARS-Based Photovoltaic Power Forecasting for Energy Imbalance Market
Xiaoning Zhang et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2019)
Unsupervised Machine Learning-Based Detection of Covert Data Integrity Assault in Smart Grid Networks Utilizing Isolation Forest
Saeed Ahmed et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2019)
Integrating Model-Driven and Data-Driven Methods for Power System Frequency Stability Assessment and Control
Qi Wang et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2019)
Real-time transient stability assessment in power system based on improved SVM
Wei Hu et al.
JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY (2019)
Electricity Theft Detection in Power Grids with Deep Learning and Random Forests
Shuan Li et al.
JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (2019)
Wavelet-Multi Resolution Analysis Based ANN Architecture for Fault Detection and Localization in DC Microgrids
D. K. J. S. Jayamaha et al.
IEEE ACCESS (2019)
Parallel Processing of Probabilistic Models-Based Power Supply Unit Mid-Term Load Forecasting With Apache Spark
Wei Jiang et al.
IEEE ACCESS (2019)
Robust Big Data Analytics for Electricity Price Forecasting in the Smart Grid
Kun Wang et al.
IEEE TRANSACTIONS ON BIG DATA (2019)
Detection of False Data Injection Attacks in Smart Grid Utilizing ELM-Based OCON Framework
Dongbo Xue et al.
IEEE ACCESS (2019)
A Deep and Scalable Unsupervised Machine Learning System for Cyber-Attack Detection in Large-Scale Smart Grids
Hadis Karimipour et al.
IEEE ACCESS (2019)
Detection and Classification of Transmission Line Faults Based on Unsupervised Feature Learning and Convolutional Sparse Autoencoder
Kunjin Chen et al.
IEEE TRANSACTIONS ON SMART GRID (2018)
Deep Learning for Household Load Forecasting-A Novel Pooling Deep RNN
Heng Shi et al.
IEEE TRANSACTIONS ON SMART GRID (2018)
Comparative Study on KNN and SVM Based Weather Classification Models for Day Ahead Short Term Solar PV Power Forecasting
Fei Wang et al.
APPLIED SCIENCES-BASEL (2018)
Cyber-security in smart grid: Survey and challenges
Zakaria El Mrabet et al.
COMPUTERS & ELECTRICAL ENGINEERING (2018)
Smart grid load forecasting using online support vector regression
Petra Vrablecova et al.
COMPUTERS & ELECTRICAL ENGINEERING (2018)
A novel state of charge and capacity estimation technique for electric vehicles connected to a smart grid based on inverse theory and a metaheuristic algorithm
Omid Rahbari et al.
ENERGY (2018)
Fault Detection and Classification Based on Co-training of Semisupervised Machine Learning
Tamer S. Abdelgayed et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)
Reinforcement Learning Approach for Optimal Distributed Energy Management in a Microgrid
Elham Foruzan et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2018)
Enhanced-Online-Random-Forest Model for Static Voltage Stability Assessment Using Wide Area Measurements
Heng-Yi Su et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2018)
Hybrid method for power system transient stability prediction based on two-stage computing resources
Yi Tang et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2018)
Voltage stability assessment using multi-objective biogeography-based subset selection
Hanieh Mohammadi et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2018)
An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders
Chao Tong et al.
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING (2018)
Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting
Xueheng Qiu et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Intrusion detection system using Online Sequence Extreme Learning Machine (OS-ELM) in advanced metering infrastructure of smart grid
Yuancheng Li et al.
PLOS ONE (2018)
Cloud-Fog-Based Smart Grid Model for Efficient Resource Management
Saman Zahoor et al.
SUSTAINABILITY (2018)
A Short-Term Photovoltaic Power Prediction Model Based on the Gradient Boost Decision Tree
Jidong Wang et al.
APPLIED SCIENCES-BASEL (2018)
Multi-View Stacking Ensemble for Power Consumption Anomaly Detection in the Context of Industrial Internet of Things
Zhiyou Ouyang et al.
IEEE ACCESS (2018)
S-Transform Based FFNN Approach for Distribution Grids Fault Detection and Classification
Md Shafiullah et al.
IEEE ACCESS (2018)
Feature Selection-Based Detection of Covert Cyber Deception Assaults in Smart Grid Communications Networks Using Machine Learning
Saeed Ahmed et al.
IEEE ACCESS (2018)
Data-Based Line Trip Fault Prediction in Power Systems Using LSTM Networks and SVM
Senlin Zhang et al.
IEEE ACCESS (2018)
Deep Learning for fault detection in wind turbines
Georg Helbing et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
Power System Voltage Stability Assessment Using a Hybrid Approach Combining Dragonfly Optimization Algorithm and Support Vector Regression
Mohammed Amroune et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2018)
Application of fuzzy - Neuro to model weather parameter variability impacts on electrical load based on long-term forecasting
Danladi Ali et al.
ALEXANDRIA ENGINEERING JOURNAL (2018)
A Learning Framework for Size and Type Independent Transient Stability Prediction of Power System Using Twin Convolutional Support Vector Machine
Alireza Bashiri Mosavi et al.
IEEE ACCESS (2018)
Big Data Analysis-Based Security Situational Awareness for Smart Grid
Jun Wu et al.
IEEE TRANSACTIONS ON BIG DATA (2018)
Review on the Research and Practice of Deep Learning and Reinforcement Learning in Smart Grids
Dongxia Zhang et al.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS (2018)
The Amalgamation of SVR and ANFIS Models with Synchronized Phasor Measurements for On-Line Voltage Stability Assessment
Mohammed Amroune et al.
ENERGIES (2017)
Learning-Based Adaptive Imputation Method with kNN Algorithm for Missing Power Data
Minkyung Kim et al.
ENERGIES (2017)
An enhanced machine learning based approach for failures detection and diagnosis of PV systems
Elyes Garoudja et al.
ENERGY CONVERSION AND MANAGEMENT (2017)
Survey of Security Advances in Smart Grid: A Data Driven Approach
Song Tan et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2017)
Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities
Bo Tang et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)
Q-Learning-Based Vulnerability Analysis of Smart Grid Against Sequential Topology Attacks
Jun Yan et al.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2017)
Wavelet-based extreme learning machine for distribution grid fault location
Md Shafiullah et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2017)
Detection of energy theft and defective smart meters in smart grids using linear regression
Sook-Chin Yip et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2017)
Voltage stability monitoring of power systems using reduced network and artificial neural network
Syed Mohammad Ashraf et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2017)
Improved-ELM method for detecting false data attack in smart grid
Liqun Yang et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2017)
Artificial Intelligence Techniques in Smart Grid and Renewable Energy Systems-Some Example Applications
Bimal K. Bose
PROCEEDINGS OF THE IEEE (2017)
Enhancing smart grid with microgrids: Challenges and opportunities
Yeliz Yoldas et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)
Real-Time Detection of False Data Injection Attacks in Smart Grid: A Deep Learning-Based Intelligent Mechanism
Youbiao He et al.
IEEE TRANSACTIONS ON SMART GRID (2017)
Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning
Elena Mocanu et al.
ENERGY AND BUILDINGS (2016)
Decision Tree and SVM-Based Data Analytics for Theft Detection in Smart Grid
Anish Jindal et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2016)
Forecasting the load of electrical power systems in mid- and long-term horizons: a review
Swasti R. Khuntia et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2016)
Machine Learning Methods for Attack Detection in the Smart Grid
Mete Ozay et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2016)
A survey on security issues in smart grids
Paria Jokar et al.
SECURITY AND COMMUNICATION NETWORKS (2016)
Blind False Data Injection Attack Using PCA Approximation Method in Smart Grid
Zong-Han Yu et al.
IEEE TRANSACTIONS ON SMART GRID (2015)
Fault Detection, Identification, and Location in Smart Grid Based on Data-Driven Computational Methods
Huaiguang Jiang et al.
IEEE TRANSACTIONS ON SMART GRID (2014)
A Reliable Intelligent System for Real-Time Dynamic Security Assessment of Power Systems
Yan Xu et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2012)
Current methods and advances in forecasting of wind power generation
Aoife M. Foley et al.
RENEWABLE ENERGY (2012)
Real-time transient stability assessment model using extreme learning machine
Y. Xu et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2011)
A Steady-State Voltage Stability Analysis of Power Systems With High Penetrations of Wind
Eknath Vittal et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2010)
Short, medium and long term load forecasting model and virtual load forecaster based on radial basis function neural networks
Changhao Xia et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2010)
Definition and classification of power system stability
P Kundur et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2004)
Towards a methodology for developing evidence-informed management knowledge by means of systematic review
D Tranfield et al.
BRITISH JOURNAL OF MANAGEMENT (2003)
分享论文
