4.7 Review

Methods, data sources and applications of the Artificial Intelligence in the Energy Poverty context: A review

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。
Article Engineering, Electrical & Electronic

Electricity theft detection in low-voltage stations based on similarity measure and DT-KSVM

Xiangyu Kong et al.

Summary: The paper proposes an electricity theft detection method based on similarity measure and decision tree combined K-Nearest Neighbor and support vector machine. Features of power consumption are obtained using feature selection strategy and KFCM algorithm, while 1D-WGAN is used to generate simulated stealing data. Numerical and morphological features are comprehensively considered for preliminary detection of NTL, with DT-KSVM used for secondary detection and identification of suspicious customers. Simulation experiments verify the effectiveness of the method.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

Article Medicine, General & Internal

The PRISMA 2020 statement: an updated guideline for reporting systematic reviews

Matthew J. Page et al.

SYSTEMATIC REVIEWS (2021)

Article Engineering, Electrical & Electronic

A novel fuzzy-based ensemble model for load forecasting using hybrid deep neural networks

George Sideratos et al.

ELECTRIC POWER SYSTEMS RESEARCH (2020)

Article Energy & Fuels

Computational Intelligent Approaches for Non-Technical Losses Management of Electricity

Ruben Gonzalez Rodriguez et al.

ENERGIES (2020)

Article Construction & Building Technology

Supervised machine learning of thermal comfort under different indoor temperatures using EEG measurements

Xin Shan et al.

ENERGY AND BUILDINGS (2020)

Article Computer Science, Information Systems

Using OpenStreetMap Data and Machine Learning to Generate Socio-Economic Indicators

Daniel Feldmeyer et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)

Article Computer Science, Information Systems

A Machine Learning Approach for Detecting Unemployment Using the Smart Metering Infrastructure

Casimiro A. Curbelo Montanez et al.

IEEE ACCESS (2020)

Article Environmental Studies

Analyzing energy poverty using intelligent approach

Milena N. Rajic et al.

ENERGY & ENVIRONMENT (2020)

Article Computer Science, Information Systems

Unsupervised Detection of Abnormal Electricity Consumption Behavior Based on Feature Engineering

Wei Zhang et al.

IEEE ACCESS (2020)

Article Engineering, Electrical & Electronic

Detection of Non-Technical Losses Using Smart Meter Data and Supervised Learning

Madalina Mihaela Buzau et al.

IEEE TRANSACTIONS ON SMART GRID (2019)

Article Energy & Fuels

Short-Term Forecasting of Natural Gas Consumption Using Factor Selection Algorithm and Optimized Support Vector Regression

Nan Wei et al.

JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME (2019)

Article Multidisciplinary Sciences

Predicting individual-level income from Facebook profiles

Sandra C. Matz et al.

PLOS ONE (2019)

Article Computer Science, Artificial Intelligence

Convolutional neural network: Deep learning-based classification of building quality problems

Botao Zhong et al.

ADVANCED ENGINEERING INFORMATICS (2019)

Article Chemistry, Multidisciplinary

Thermal Comfort-Based Personalized Models with Non-Intrusive Sensing Technique in Office Buildings

Siliang Lu et al.

APPLIED SCIENCES-BASEL (2019)

Article Construction & Building Technology

Recurrent inception convolution neural network for multi short-term load forecasting

Junhong Kim et al.

ENERGY AND BUILDINGS (2019)

Article Energy & Fuels

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

Rahul Kumar Agrawal et al.

APPLIED ENERGY (2019)

Article Energy & Fuels

Electricity Theft Detection in Smart Grid Systems: A CNN-LSTM Based Approach

Md. Nazmul Hasan et al.

ENERGIES (2019)

Article Construction & Building Technology

Influence of climate on the creation of multilayer perceptrons to analyse the risk of fuel poverty

David Bienvenido-Huertas et al.

ENERGY AND BUILDINGS (2019)

Article Metallurgy & Metallurgical Engineering

A pre-warning system of abnormal energy consumption in lead smelting based on LSSVR-RP-CI

Wang Hong-cai et al.

JOURNAL OF CENTRAL SOUTH UNIVERSITY (2019)

Article Computer Science, Information Systems

Ensemble Bagged Tree Based Classification for Reducing Non-Technical Losses in Multan Electric Power Company of Pakistan

Muhammad Salman Saeed et al.

ELECTRONICS (2019)

Article Computer Science, Artificial Intelligence

Machine learning models for credit analysis improvements: Predicting low-income families' default

Jose Romulo de Castro Vieira et al.

APPLIED SOFT COMPUTING (2019)

Article Construction & Building Technology

Prediction of indoor clothing insulation levels: A deep learning approach

Jack Ngarambe et al.

ENERGY AND BUILDINGS (2019)

Review Energy & Fuels

Conventional models and artificial intelligence-based models for energy consumption forecasting: A review

Nan Wei et al.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2019)

Article Computer Science, Information Systems

Electricity Theft Detection in Power Grids with Deep Learning and Random Forests

Shuan Li et al.

JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (2019)

Article Economics

Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO

Bartosz Uniejewski et al.

INTERNATIONAL JOURNAL OF FORECASTING (2019)

Proceedings Paper Energy & Fuels

Detecting and Estimating Amount of Energy Theft in the Distribution Network Using Linear Regression

Lorelisa Ethel Luya et al.

2019 9TH INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS (ICPES) (2019)

Review Economics

Machine learning in energy economics and finance: A review

Hamed Ghoddusi et al.

ENERGY ECONOMICS (2019)

Article Computer Science, Information Systems

A Hybrid LSTM Neural Network for Energy Consumption Forecasting of Individual Households

Ke Yan et al.

IEEE ACCESS (2019)

Article Environmental Studies

Understanding urban gentrification through machine learning

Jonathan Reades et al.

URBAN STUDIES (2019)

Article Computer Science, Artificial Intelligence

Big Data and Energy Poverty Alleviation

Hossein Hassani et al.

BIG DATA AND COGNITIVE COMPUTING (2019)

Article Agriculture, Multidisciplinary

Machine-learning algorithms for predicting on-farm direct water and electricity consumption on pasture based dairy farms

P. Shine et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2018)

Article Automation & Control Systems

Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids

Zibin Zheng et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)

Article Engineering, Electrical & Electronic

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

Joaquim L. Viegas et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2018)

Article Engineering, Electrical & Electronic

Identification of suspicious electricity customers

Josif V. Spiric et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2018)

Article Mathematics, Applied

Grey-related least squares support vector machine optimization model and its application in predicting natural gas consumption demand

Yong-Hong Wu et al.

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS (2018)

Article Green & Sustainable Science & Technology

An Electricity Price Forecasting Model by Hybrid Structured Deep Neural Networks

Ping-Huan Kuo et al.

SUSTAINABILITY (2018)

Article Construction & Building Technology

On the feature engineering of building energy data mining

Chuan Zhang et al.

SUSTAINABLE CITIES AND SOCIETY (2018)

Review Green & Sustainable Science & Technology

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

Joaquim L. Viegas et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)

Article Engineering, Electrical & Electronic

Identification and characterization of irregular consumptions of load data

Desh Deepak Sharma et al.

JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY (2017)

Proceedings Paper Business

Load Forecasting via Deep Neural Networks

Wan He

5TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2017 (2017)

Article Construction & Building Technology

Personalized human comfort in indoor building environments under diverse conditioning modes

Da Li et al.

BUILDING AND ENVIRONMENT (2017)

Article Construction & Building Technology

Modelling personal thermal sensations using C-Support Vector Classification (C-SVC) algorithm

Lai Jiang et al.

BUILDING AND ENVIRONMENT (2016)

Article Construction & Building Technology

Cluster analysis of residential heat load profiles and the role of technical and household characteristics

Carolina Madeira R. do Carmo et al.

ENERGY AND BUILDINGS (2016)

Article Construction & Building Technology

Daily natural gas consumption forecasting based on a structure-calibrated support vector regression approach

Yun Bai et al.

ENERGY AND BUILDINGS (2016)

Article Construction & Building Technology

Algorithm for optimal application of the setback moment in the heating season using an artificial neural network model

Jin Woo Moon et al.

ENERGY AND BUILDINGS (2016)

Article Automation & Control Systems

Decision Tree and SVM-Based Data Analytics for Theft Detection in Smart Grid

Anish Jindal et al.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2016)

Article Engineering, Electrical & Electronic

Electricity Theft Detection in AMI Using Customers' Consumption Patterns

Paria Jokar et al.

IEEE TRANSACTIONS ON SMART GRID (2016)

Review Construction & Building Technology

Prediction of the thermal comfort indices using improved support vector machine classifiers and nonlinear kernel functions

Ahmed Cherif Megri et al.

INDOOR AND BUILT ENVIRONMENT (2016)

Article Economics

Multilayer perceptron for GEFCom2014 probabilistic electricity price forecasting

Grzegorz Dudek

INTERNATIONAL JOURNAL OF FORECASTING (2016)

Article Construction & Building Technology

An online learning approach for quantifying personalized thermal comfort via adaptive stochastic modeling

Ali Ghahramani et al.

BUILDING AND ENVIRONMENT (2015)

Article Construction & Building Technology

Ensemble of various neural networks for prediction of heating energy consumption

Radisa Z. Jovanovic et al.

ENERGY AND BUILDINGS (2015)

Article Construction & Building Technology

Gated ensemble learning method for demand-side electricity load forecasting

Eric M. Burger et al.

ENERGY AND BUILDINGS (2015)

Article Thermodynamics

Simultaneous day-ahead forecasting of electricity price and load in smart grids

H. Shayeghi et al.

ENERGY CONVERSION AND MANAGEMENT (2015)

Article Thermodynamics

Electricity price forecast using Combinatorial Neural Network trained by a new stochastic search method

O. Abedinia et al.

ENERGY CONVERSION AND MANAGEMENT (2015)

Article Thermodynamics

Clustering disaggregated load profiles using a Dirichlet process mixture model

Ramon Granell et al.

ENERGY CONVERSION AND MANAGEMENT (2015)

Article Energy & Fuels

A neuro-fuzzy algorithm for improved gas consumption forecasting with economic, environmental and IT/IS indicators

A. Azadeh et al.

JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2015)

Article Multidisciplinary Sciences

Studying User Income through Language, Behaviour and Affect in Social Media

Daniel Preotiuc-Pietro et al.

PLOS ONE (2015)

Review Green & Sustainable Science & Technology

Heat load prediction in district heating systems with adaptive neuro-fuzzy method

Shahaboddin Shamshirband et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2015)

Article Computer Science, Information Systems

Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition

Filippo Maria Bianchi et al.

IEEE ACCESS (2015)

Article Multidisciplinary Sciences

Novel Back Propagation Optimization by Cuckoo Search Algorithm

Jiao-hong Yi et al.

SCIENTIFIC WORLD JOURNAL (2014)

Review Economics

Electricity price forecasting: A review of the state-of-the-art with a look into the future

Rafal Weron

INTERNATIONAL JOURNAL OF FORECASTING (2014)

Article Economics

Measuring and monitoring energy poverty

Shonali Pachauri et al.

ENERGY POLICY (2011)