Artificial intelligence techniques for enabling Big Data services in distribution networks: A review

Machine Learning Models for Secure Data Analytics: A taxonomy and threat model

(2020) Rajesh Gupta et al.   COMPUTER COMMUNICATIONS

Deep Learning Image-Based Defect Detection in High Voltage Electrical Equipment

(2020) Irfan Ullah et al.   Energies

A Novel Load Scheduling Mechanism Using Artificial Neural Network Based Customer Profiles in Smart Grid

(2020) Zubair Khalid  et al.   Energies

Analytics framework for optimal smart meters data processing

(2020) Thamer Alquthami et al.   ELECTRICAL ENGINEERING

A Machine Learning Pipeline for Demand Response Capacity Scheduling

(2020) Gautham Krishnadas et al.   Energies

Intelligent Fault Detection System for Microgrids

(2020) Cristian Cepeda et al.   Energies

Predicting the demand flexibility of wet appliances at national level: The case of France

(2020) Marika Vellei et al.   ENERGY AND BUILDINGS

A Comparative Analysis of Machine Learning Approaches for Short-/Long-Term Electricity Load Forecasting in Cyprus

(2020) Davut Solyali   Sustainability

Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine

(2020) Waqas Ahmad et al.   Energies

Modified deep learning and reinforcement learning for an incentive-based demand response model

(2020) Lulu Wen et al.   ENERGY

A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data

(2020) Jun Ma et al.   ENERGY AND BUILDINGS

Ultra-Short-Term Industrial Power Demand Forecasting Using LSTM Based Hybrid Ensemble Learning

(2020) Mao Tan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Imbalanced learning algorithm based intelligent abnormal electricity consumption detection

(2020) Hongyun Qin et al.   NEUROCOMPUTING

A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy Management

(2020) Xu Xu et al.   IEEE Transactions on Smart Grid

Coordinated Market Design for Peer-to-Peer Energy Trade and Ancillary Services in Distribution Grids

(2020) Kai Zhang et al.   IEEE Transactions on Smart Grid

Statistical Machine Learning Model for Stochastic Optimal Planning of Distribution Networks Considering a Dynamic Correlation and Dimension Reduction

(2020) Xueqian Fu et al.   IEEE Transactions on Smart Grid

Network-constrained bidding optimization strategy for aggregators of prosumers

(2020) José Iria et al.   ENERGY

Blockchain and AI amalgamation for energy cloud management: Challenges, solutions, and future directions

(2020) Aparna Kumari et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Missing data imputation with adversarially-trained graph convolutional networks

(2020) Indro Spinelli et al.   NEURAL NETWORKS

Recurrent Neural Network-Based Hourly Prediction of Photovoltaic Power Output Using Meteorological Information

(2019) Donghun Lee et al.   Energies

Comparative Analysis of Adjustable Robust Optimization Alternatives for the Participation of Aggregated Residential Prosumers in Electricity Markets

(2019) Carlos Correa-Florez et al.   Energies

Computational Intelligence on Short-Term Load Forecasting: A Methodological Overview

(2019) Seyedeh Fallah et al.   Energies

A cluster-based optimization approach to support the participation of an aggregator of a larger number of prosumers in the day-ahead energy market

(2019) José Iria et al.   ELECTRIC POWER SYSTEMS RESEARCH

A Big Data platform for smart meter data analytics

(2019) Tom Wilcox et al.   COMPUTERS IN INDUSTRY

Optimal bidding strategy for an aggregator of prosumers in energy and secondary reserve markets

(2019) José Iria et al.   APPLIED ENERGY

Prediction and explanation of the formation of the Spanish day-ahead electricity price through machine learning regression

(2019) Guzmán Díaz et al.   APPLIED ENERGY

Modelling and forecasting hourly electricity demand in West African countries

(2019) Omotola Adeoye et al.   APPLIED ENERGY

Trading strategy optimization for a prosumer in continuous double auction-based peer-to-peer market: A prediction-integration model

(2019) Kaixuan Chen et al.   APPLIED ENERGY

Experimental flexibility identification of aggregated residential thermal loads using behind-the-meter data

(2019) Charalampos Ziras et al.   APPLIED ENERGY

A two-stage supervised learning approach for electricity price forecasting by leveraging different data sources

(2019) Shuman Luo et al.   APPLIED ENERGY

Relative evaluation of regression tools for urban area electrical energy demand forecasting

(2019) Nils Jakob Johannesen et al.   JOURNAL OF CLEANER PRODUCTION

Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression

(2019) Mahdi Sharifzadeh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Multi-Label Classification Based on Random Forest Algorithm for Non-Intrusive Load Monitoring System

(2019) Xin Wu et al.   Processes

A hybrid deep learning-based neural network for 24-h ahead wind power forecasting

(2019) Ying-Yi Hong et al.   APPLIED ENERGY

Ensemble of relevance vector machines and boosted trees for electricity price forecasting

(2019) Rahul Kumar Agrawal et al.   APPLIED ENERGY

Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices

(2019) Alessandro Brusaferri et al.   APPLIED ENERGY

Appliance Classification by Power Signal Analysis Based on Multi-Feature Combination Multi-Layer LSTM

(2019) Jin-Gyeom Kim et al.   Energies

Knowledge Embedded Semi-Supervised Deep Learning for Detecting Non-Technical Losses in the Smart Grid

(2019) Xiaoquan Lu et al.   Energies

Research and Application of a Novel Hybrid Model Based on a Deep Neural Network Combined with Fuzzy Time Series for Energy Forecasting

(2019) Wei et al.   Energies

Short-Term Load Forecasting for a Single Household Based on Convolution Neural Networks Using Data Augmentation

(2019) Acharya et al.   Energies

Distributed Ledger Technologies for Peer-to-Peer Local Markets in Distribution Networks

(2019) Matteo Troncia et al.   Energies

Load Flexibility Forecast for DR Using Non-Intrusive Load Monitoring in the Residential Sector

(2019) Alexandre Lucas et al.   Energies

A Survey and Evaluation of the Potentials of Distributed Ledger Technology for Peer-to-Peer Transactive Energy Exchanges in Local Energy Markets

(2019) Pierluigi Siano et al.   IEEE Systems Journal

A novel method of inter-turn fault detection for next-generation smart transformers based on deep learning algorithm

(2019) Lian Duan et al.   High Voltage

Intelligent Fault Classification and Location Identification Method for Microgrids Using Discrete Orthonormal Stockwell Transform-Based Optimized Multi-Kernel Extreme Learning Machine

(2019) Teke Gush et al.   Energies

Multi-Site Photovoltaic Forecasting Exploiting Space-Time Convolutional Neural Network

(2019) Jaeik Jeong et al.   Energies

Fault Current Tracing and Identification via Machine Learning Considering Distributed Energy Resources in Distribution Networks

(2019) Wanghao Fei et al.   Energies

Optimal Dispatch of Aggregated HVAC Units for Demand Response: An Industry 4.0 Approach

(2019) Michael Short et al.   Energies

Real-Time Faulted Line Localization and PMU Placement in Power Systems Through Convolutional Neural Networks

(2019) Wenting Li et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Incorporate flexibility in distribution grid planning through a framework solution

(2019) Sergey Klyapovskiy et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Outlier-robust hybrid electricity price forecasting model for electricity market management

(2019) Jianzhou Wang et al.   JOURNAL OF CLEANER PRODUCTION

One month-ahead electricity price forecasting in the context of production planning

(2019) Torben Windler et al.   JOURNAL OF CLEANER PRODUCTION

Situational Awareness in Distribution Grid Using Micro-PMU Data: A Machine Learning Approach

(2019) Alireza Shahsavari et al.   IEEE Transactions on Smart Grid

Demand Response for Home Energy Management Using Reinforcement Learning and Artificial Neural Network

(2019) Renzhi Lu et al.   IEEE Transactions on Smart Grid

PLC-Enabled Low Voltage Distribution Network Topology Monitoring

(2019) Marcin Lisowski et al.   IEEE Transactions on Smart Grid

Electricity Load and Price Forecasting Using Jaya-Long Short Term Memory (JLSTM) in Smart Grids

(2019) Rabiya Khalid et al.   Entropy

Mid-term electricity load forecasting by a new composite method based on optimal learning MLP algorithm

(2019) Mostafa Askari et al.   IET Generation Transmission & Distribution

Non-Technical Loss Detection in Power Grids with Statistical Profile Images Based on Semi-Supervised Learning

(2019) Jiangteng Li et al.   SENSORS

Introducing Technical Indicators to Electricity Price Forecasting: A Feature Engineering Study for Linear, Ensemble, and Deep Machine Learning Models

(2019) Sumeyra Demir et al.   Applied Sciences-Basel

A Novel Electricity Price Forecasting Approach Based on Dimension Reduction Strategy and Rough Artificial Neural Networks

(2019) Hamidreza Jahangir et al.   IEEE Transactions on Industrial Informatics

Bayesian Deep Learning-Based Probabilistic Load Forecasting in Smart Grids

(2019) Yandong Yang et al.   IEEE Transactions on Industrial Informatics

Data-driven model predictive control using random forests for building energy optimization and climate control

(2018) Francesco Smarra et al.   APPLIED ENERGY

A Dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach

(2018) Renzhi Lu et al.   APPLIED ENERGY

Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

(2018) Jesus Lago et al.   APPLIED ENERGY

Prediction of short-term PV power output and uncertainty analysis

(2018) Luyao Liu et al.   APPLIED ENERGY

A survey of artificial neural network in wind energy systems

(2018) Alberto Pliego Marugán et al.   APPLIED ENERGY

Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

(2018) Salah Bouktif et al.   Energies

Local Flexibility Market Design for Aggregators Providing Multiple Flexibility Services at Distribution Network Level

(2018) Pol Olivella-Rosell et al.   Energies

Electricity Price Forecasting Using Recurrent Neural Networks

(2018) Umut Ugurlu et al.   Energies

Big Data Mining of Energy Time Series for Behavioral Analytics and Energy Consumption Forecasting

(2018) et al.   Energies

Electricity Price Forecasting with Dynamic Trees: A Benchmark Against the Random Forest Approach

(2018) Javier Pórtoles et al.   Energies

Customer Segmentation Based on the Electricity Demand Signature: The Andalusian Case

(2018) Andrés Camero et al.   Energies

Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM

(2018) Xiangyun Qing et al.   ENERGY

A deep learning model for short-term power load and probability density forecasting

(2018) Zhifeng Guo et al.   ENERGY

Short term electricity load forecasting using a hybrid model

(2018) Jinliang Zhang et al.   ENERGY

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

Solar photovoltaic generation forecasting methods: A review

(2018) Sobrina Sobri 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

Short-run electricity load forecasting with combinations of stationary wavelet transforms

(2018) Marie Bessec et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Integrating Renewable Energy Resources Into the Smart Grid: Recent Developments in Information and Communication Technologies

(2018) Mubashir Husain Rehmani et al.   IEEE Transactions on Industrial Informatics

Reinforcement Learning Approach for Optimal Distributed Energy Management in a Microgrid

(2018) Elham Foruzan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Power Distribution Network Topology Detection With Time-Series Signature Verification Method

(2018) Guido Cavraro et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Dynamic Event Detection Using a Distributed Feature Selection based Machine Learning Approach in a Self Healing Microgrid

(2018) Miftah Al Karim et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Forecasting Demand Flexibility of Aggregated Residential Load Using Smart Meter Data

(2018) Jelena Ponocko et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

PaToPa: A Data-Driven Parameter and Topology Joint Estimation Framework in Distribution Grids

(2018) Jiafan Yu et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Clustering-based novelty detection for identification of non-technical losses

(2018) Joaquim L. Viegas et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders

(2018) Chao Tong et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Probabilistic mid- and long-term electricity price forecasting

(2018) Florian Ziel et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Recent advances in electricity price forecasting: A review of probabilistic forecasting

(2018) Jakub Nowotarski et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information

(2018) Abinet Tesfaye Eseye et al.   RENEWABLE ENERGY

Predicting solar energy generation through artificial neural networks using weather forecasts for microgrid control

(2018) Fermín Rodríguez et al.   RENEWABLE ENERGY

Simultaneous Detection of Multiple Appliances from Smart-meter Measurements via Multi-Label Consistent Deep Dictionary Learning and Deep Transform Learning

(2018) Vanika Singhal et al.   IEEE Transactions on Smart Grid

Dynamic Power Tariff for Congestion Management in Distribution Networks

(2018) Shaojun Huang et al.   IEEE Transactions on Smart Grid

On-line Building Energy Optimization using Deep Reinforcement Learning

(2018) Elena Mocanu et al.   IEEE Transactions on Smart Grid

Reinforcement Learning Applied to an Electric Water Heater: From Theory to Practice

(2018) F. Ruelens et al.   IEEE Transactions on Smart Grid

Day-Ahead Hourly Forecasting of Power Generation From Photovoltaic Plants

(2018) Lorenzo Gigoni et al.   IEEE Transactions on Sustainable Energy

Review on Home Energy Management System Considering Demand Responses, Smart Technologies, and Intelligent Controllers

(2018) Hussain Shareef et al.   IEEE Access

Complex Power System Status Monitoring and Evaluation Using Big Data Platform and Machine Learning Algorithms: A Review and a Case Study

(2018) Yuanjun Guo et al.   COMPLEXITY

Residential Load Scheduling With Renewable Generation in the Smart Grid: A Reinforcement Learning Approach

(2018) Remani T et al.   IEEE Systems Journal

Hybrid method for short-term photovoltaic power forecasting based on deep convolutional neural network

(2018) Haixiang Zang et al.   IET Generation Transmission & Distribution

Application of support vector machine models for forecasting solar and wind energy resources: A review

(2018) Alireza Zendehboudi et al.   JOURNAL OF CLEANER PRODUCTION

Short-term electricity load forecasting based on feature selection and Least Squares Support Vector Machines

(2018) Ailing Yang et al.   KNOWLEDGE-BASED SYSTEMS

Short-term electricity price forecasting and classification in smart grids using optimized multikernel extreme learning machine

(2018) Ranjeeta Bisoi et al.   NEURAL COMPUTING & APPLICATIONS

Long-Term Electricity Load Forecasting Considering Volatility Using Multiplicative Error Model

(2018) Swasti Khuntia et al.   Energies

Random forest based intelligent fault diagnosis for PV arrays using array voltage and string currents

(2018) Zhicong Chen et al.   ENERGY CONVERSION AND MANAGEMENT

Reinforcement learning for demand response: A review of algorithms and modeling techniques

(2018) José R. Vázquez-Canteli et al.   APPLIED ENERGY

Model-Free Real-Time EV Charging Scheduling Based on Deep Reinforcement Learning

(2018) Zhiqiang Wan et al.   IEEE Transactions on Smart Grid

Multi-period flexibility forecast for low voltage prosumers

(2017) Rui Pinto et al.   ENERGY

Detection of non-technical losses in smart meter data based on load curve profiling and time series analysis

(2017) Esther Villar-Rodriguez et al.   ENERGY

An enhanced machine learning based approach for failures detection and diagnosis of PV systems

(2017) Elyes Garoudja et al.   ENERGY CONVERSION AND MANAGEMENT

State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

(2017) Zubair Md. Fadlullah et al.   IEEE Communications Surveys and Tutorials

Wavelet-based extreme learning machine for distribution grid fault location

(2017) Md Shafiullah et al.   IET Generation Transmission & Distribution

Big Data-Based Approach to Detect, Locate, and Enhance the Stability of an Unplanned Microgrid Islanding

(2017) Huaiguang Jiang et al.   JOURNAL OF ENERGY ENGINEERING

Accurate photovoltaic power forecasting models using deep LSTM-RNN

(2017) Mohamed Abdel-Nasser et al.   NEURAL COMPUTING & APPLICATIONS

Solutions for detection of non-technical losses in the electricity grid: A review

(2017) Joaquim L. Viegas et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Review and classification of barriers and enablers of demand response in the smart grid

(2017) Nicholas Good et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Energy management systems aggregators: A literature survey

(2017) Andreia M. Carreiro et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Big data issues in smart grid – A review

(2017) Chunming Tu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Incorporating Appliance Usage Patterns for Non-Intrusive Load Monitoring and Load Forecasting

(2017) Shirantha Welikala et al.   IEEE Transactions on Smart Grid

A Tunable Fraud Detection System for Advanced Metering Infrastructure using Short-Lived Patterns

(2017) Marcelo Zanetti et al.   IEEE Transactions on Smart Grid

Real-Time Congestion Management in Distribution Networks by Flexible Demand Swap

(2017) Shaojun Huang et al.   IEEE Transactions on Smart Grid

A Hierarchical Framework for Smart Grid Anomaly Detection Using Large-Scale Smart Meter Data

(2017) Ramin Moghaddass 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

Residential Demand Response of Thermostatically Controlled Loads Using Batch Reinforcement Learning

(2017) Frederik Ruelens et al.   IEEE Transactions on Smart Grid

Voltage Analytics for Power Distribution Network Topology Verification

(2017) Guido Cavraro 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

Big Data-Based Approach to Detect, Locate, and Enhance the Stability of an Unplanned Microgrid Islanding

(2017) Huaiguang Jiang et al.   JOURNAL OF ENERGY ENGINEERING

Mining Energy Consumption Behavior Patterns for Households in Smart Grid

(2017) Shailendra Singh et al.   IEEE Transactions on Emerging Topics in Computing

Electrical load forecasting models: A critical systematic review

(2017) Corentin Kuster et al.   Sustainable Cities and Society

Day-ahead electricity price forecasting via the application of artificial neural network based models

(2016) Ioannis P. Panapakidis et al.   APPLIED ENERGY

A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system

(2016) Jianzhou Wang et al.   APPLIED SOFT COMPUTING

Hybrid LSA-ANN Based Home Energy Management Scheduling Controller for Residential Demand Response Strategy

(2016) Maytham Ahmed et al.   Energies

ANN–GA smart appliance scheduling for optimised energy management in the domestic sector

(2016) Baris Yuce et al.   ENERGY AND BUILDINGS

Big data driven smart energy management: From big data to big insights

(2016) Kaile Zhou et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Clustering of Electricity Consumption Behavior Dynamics Toward Big Data Applications

(2016) Yi Wang et al.   IEEE Transactions on Smart Grid

Online Energy Price Matrix Factorization for Power Grid Topology Tracking

(2016) Vassilis Kekatos et al.   IEEE Transactions on Smart Grid

Estimating Power Generation of Invisible Solar Sites Using Publicly Available Data

(2016) Hamid Shaker et al.   IEEE Transactions on Smart Grid

Electricity Theft Detection in AMI Using Customers’ Consumption Patterns

(2016) Paria Jokar et al.   IEEE Transactions on Smart Grid

Energy Big Data Analytics and Security: Challenges and Opportunities

(2016) Jiankun Hu et al.   IEEE Transactions on Smart Grid

Energy big data: A survey

(2016) Hui Jiang et al.   IEEE Access

HEMSs and enabled demand response in electricity market: An overview

(2015) Aftab Ahmed Khan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

(2015) Muhammad Qamar Raza et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review of monitoring methods for predictive maintenance of electric power transformers based on dissolved gas analysis

(2015) Haroldo de Faria et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A hybrid model for integrated day-ahead electricity price and load forecasting in smart grid

(2014) Lei Wu et al.   IET Generation Transmission & Distribution

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

(2014) C.L. Philip Chen et al.   INFORMATION SCIENCES

A survey on Advanced Metering Infrastructure

(2014) Ramyar Rashed Mohassel et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A review of combined approaches for prediction of short-term wind speed and power

(2014) A. Tascikaraoglu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Asset maintenance planning in electric power distribution network using statistical analysis of outage data

(2013) Anthony U. Adoghe et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Classification and Clustering of Electricity Demand Patterns in Industrial Parks

(2012) Luis Hernández et al.   Energies

General asset management model in the context of an electric utility: Application to power transformers

(2011) Juan L. Velasquez-Contreras et al.   ELECTRIC POWER SYSTEMS RESEARCH

Improving SVM-Based Nontechnical Loss Detection in Power Utility Using the Fuzzy Inference System

(2011) J Nagi et al.   IEEE TRANSACTIONS ON POWER DELIVERY

Detection of frauds and other non-technical losses in a power utility using Pearson coefficient, Bayesian networks and decision trees

(2011) Iñigo Monedero et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Energy models for demand forecasting—A review

(2011) L. Suganthi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines

(2009) Jawad Nagi et al.   IEEE TRANSACTIONS ON POWER DELIVERY