Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives

The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: energy implications of AI-based thermal comfort controls

(2020) Jack Ngarambe et al.   ENERGY AND BUILDINGS

Abnormal energy consumption detection for GSHP system based on ensemble deep learning and statistical modeling method

(2020) Chengliang Xu et al.   INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID

REHAB-C: Recommendations for Energy HABits Change

(2020) Christos Sardianos et al.   Future Generation Computer Systems-The International Journal of eScience

IGAN-IDS: An imbalanced generative adversarial network towards intrusion detection system in ad-hoc networks

(2020) Shuokang Huang et al.   Ad Hoc Networks

Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree

(2020) Yassine Himeur et al.   APPLIED ENERGY

Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability

(2020) Anh-Duc Pham et al.   JOURNAL OF CLEANER PRODUCTION

Confidence guided anomaly detection model for anti-concept drift in dynamic logs

(2020) Xueshuo Xie et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Digital technologies in the public-health response to COVID-19

(2020) Jobie Budd et al.   NATURE MEDICINE

Annotation-free learning of plankton for classification and anomaly detection

(2020) Vito P. Pastore et al.   Scientific Reports

Application of Deep Reinforcement Learning in Traffic Signal Control: An Overview and Impact of Open Traffic Data

(2020) Martin Gregurić et al.   Applied Sciences-Basel

Combining K-Means and XGBoost Models for Anomaly Detection Using Log Datasets

(2020) João Henriques et al.   Electronics

Anomaly detection based on machine learning in IoT-based vertical plant wall for indoor climate control

(2020) Yu Liu et al.   BUILDING AND ENVIRONMENT

Can smart energy information interventions help householders save electricity? A SVR machine learning approach

(2020) Andong Wang et al.   ENVIRONMENTAL SCIENCE & POLICY

A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks

(2020) Yassine Himeur et al.   Cognitive Computation

Comparative study of machine learning-based multi-objective prediction framework for multiple building energy loads

(2020) X.J. Luo et al.   Sustainable Cities and Society

COVID-19: Impact analysis and recommendations for power sector operation

(2020) Rajvikram Madurai Elavarasan et al.   APPLIED ENERGY

The relationship between air pollution and COVID-19-related deaths: An application to three French cities

(2020) Cosimo Magazzino et al.   APPLIED ENERGY

Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction

(2020) Yassine Himeur et al.   APPLIED ENERGY

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

(2020) Yassine Himeur et al.   Information Fusion

Occupant presence and behavior: A major issue for building energy performance simulation and assessment

(2020) Y. Laaroussi et al.   Sustainable Cities and Society

A Micro-Moment System for Domestic Energy Efficiency Analysis

(2020) Abdullah Alsalemi et al.   IEEE Systems Journal

Can non-intrusive load monitoring be used for identifying an appliance’s anomalous behaviour?

(2019) Haroon Rashid et al.   APPLIED ENERGY

FuseAD: Unsupervised Anomaly Detection in Streaming Sensors Data by Fusing Statistical and Deep Learning Models

(2019) Mohsin Munir et al.   SENSORS

Effect of smart meter data collection frequency in an early detection of shorter-duration voltage anomalies in smart grids

(2019) Soo Wan Yen et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Unsupervised anomaly detection based on clustering methods and sensor data on a marine diesel engine

(2019) Erik Vanem et al.   Journal of Marine Engineering and Technology

The Role of Micro-Moments: A Survey of Habitual Behavior Change and Recommender Systems for Energy Saving

(2019) Abdullah Alsalemi et al.   IEEE Systems Journal

Classification of Occupancy Sensor Anomalies in Connected Indoor Lighting Systems

(2019) Giulia Violatto et al.   IEEE Internet of Things Journal

Anomaly Detection in Power Generation Plants Using Machine Learning and Neural Networks

(2019) Jecinta Mulongo et al.   APPLIED ARTIFICIAL INTELLIGENCE

Real-time prediction and anomaly detection of electrical load in a residential community

(2019) Xinlin Wang et al.   APPLIED ENERGY

SmartFog: Training the Fog for the Energy-Saving Analytics of Smart-Meter Data

(2019) Michele Scarpiniti et al.   Applied Sciences-Basel

Energy Theft Detection With Energy Privacy Preservation in the Smart Grid

(2019) Donghuan Yao et al.   IEEE Internet of Things Journal

Generating Energy Data for Machine Learning with Recurrent Generative Adversarial Networks

(2019) Mohammad Navid Fekri et al.   Energies

Study on deep reinforcement learning techniques for building energy consumption forecasting

(2019) Tao Liu et al.   ENERGY AND BUILDINGS

Anomaly Detections for Manufacturing Systems Based on Sensor Data—Insights into Two Challenging Real-World Production Settings

(2019) Klaus Kammerer et al.   SENSORS

Changing energy cultures? Household energy use before and after a building energy efficiency retrofit

(2019) Henrike Rau et al.   Sustainable Cities and Society

Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data

(2018) Cheng Fan et al.   APPLIED ENERGY

Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings

(2018) Alfonso Capozzoli et al.   ENERGY

Gradient boosting machine for modeling the energy consumption of commercial buildings

(2018) Samir Touzani et al.   ENERGY AND BUILDINGS

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

(2018) Zibin Zheng et al.   IEEE Transactions on Industrial Informatics

Real-Time Pricing by Data Fusion on Networks

(2018) Shinsaku Izumi et al.   IEEE Transactions on Industrial Informatics

Voila: Visual Anomaly Detection and Monitoring with Streaming Spatiotemporal Data

(2018) Nan Cao et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Scalable prediction-based online anomaly detection for smart meter data

(2018) Xiufeng Liu et al.   INFORMATION SYSTEMS

An anomaly detection framework for identifying energy theft and defective meters in smart grids

(2018) Sook-Chin Yip et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Multi-View Stacking Ensemble for Power Consumption Anomaly Detection in the Context of Industrial Internet of Things

(2018) Zhiyou Ouyang et al.   IEEE Access

City Scanner: Building and Scheduling a Mobile Sensing Platform for Smart City Services

(2018) Amin Anjomshoaa et al.   IEEE Internet of Things Journal

Boosting Positive and Unlabeled Learning for Anomaly Detection with Multi-features

(2018) Jiaqi Zhang et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Convolutional neural network-based data anomaly detection method using multiple information for structural health monitoring

(2018) Zhiyi Tang et al.   Structural Control & Health Monitoring

Blockchain technology in the energy sector: A systematic review of challenges and opportunities

(2018) Merlinda Andoni et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

One-Class Convolutional Neural Network

(2018) Poojan Oza et al.   IEEE SIGNAL PROCESSING LETTERS

An ensemble learning framework for anomaly detection in building energy consumption

(2017) Daniel B. Araya et al.   ENERGY AND BUILDINGS

Spatial anomaly detection in sensor networks using neighborhood information

(2017) Hedde HWJ Bosman et al.   Information Fusion

Early-warning application for real-time detection of energy consumption anomalies in buildings

(2017) Jui-Sheng Chou et al.   JOURNAL OF CLEANER PRODUCTION

An in-depth experimental study of anomaly detection using gradient boosted machine

(2017) Bayu Adhi Tama et al.   NEURAL COMPUTING & APPLICATIONS

Hybrid computation offloading for smart home automation in mobile cloud computing

(2017) Jie Zhang et al.   Personal and Ubiquitous Computing

A Hybrid Semi-Supervised Anomaly Detection Model for High-Dimensional Data

(2017) Hongchao Song et al.   Computational Intelligence and Neuroscience

Anomaly Detection in Smart Metering Infrastructure with the Use of Time Series Analysis

(2017) Tomasz Andrysiak et al.   Journal of Sensors

A Data-Driven Clustering Approach for Fault Diagnosis

(2017) Jian Hou et al.   IEEE Access

GroupFound: An effective approach to detect suspicious accounts in online social networks

(2017) Bo Feng et al.   International Journal of Distributed Sensor Networks

Rule-based system to detect energy efficiency anomalies in smart buildings, a data mining approach

(2016) Manuel Peña et al.   EXPERT SYSTEMS WITH APPLICATIONS

A survey of anomaly detection techniques in financial domain

(2016) Mohiuddin Ahmed et al.   Future Generation Computer Systems-The International Journal of eScience

Privacy-Preserving Energy Theft Detection in Microgrids: A State Estimation Approach

(2016) Sergio A. Salinas et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A New Approach to Dimensionality Reduction for Anomaly Detection in Data Traffic

(2016) Tingshan Huang et al.   IEEE Transactions on Network and Service Management

A New Approach to Dimensionality Reduction for Anomaly Detection in Data Traffic

(2016) Tingshan Huang et al.   IEEE Transactions on Network and Service Management

An Entropy-Based Network Anomaly Detection Method

(2015) Przemysław Bereziński et al.   Entropy

Graph based anomaly detection and description: a survey

(2014) Leman Akoglu et al.   DATA MINING AND KNOWLEDGE DISCOVERY

#FluxFlow: Visual Analysis of Anomalous Information Spreading on Social Media

(2014) Jian Zhao et al.   IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Graph-based approach for outlier detection in sequential data and its application on stock market and weather data

(2014) Ali Rahmani et al.   KNOWLEDGE-BASED SYSTEMS

Real-time detection of anomalous power consumption

(2014) Jui-Sheng Chou et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Support vector regression for anomaly detection from measurement histories

(2013) Rolands Kromanis et al.   ADVANCED ENGINEERING INFORMATICS

Anomaly detection for visual analytics of power consumption data

(2013) Halldór Janetzko et al.   COMPUTERS & GRAPHICS-UK

One class random forests

(2013) Chesner Désir et al.   PATTERN RECOGNITION

Isolation-Based Anomaly Detection

(2012) Fei Tony Liu et al.   ACM Transactions on Knowledge Discovery from Data

Application of density-based outlier detection to database activity monitoring

(2010) Seung Kim et al.   INFORMATION SYSTEMS FRONTIERS

Resolution-based outlier factor: detecting the top-n most outlying data points in engineering data

(2008) Hongqin Fan et al.   KNOWLEDGE AND INFORMATION SYSTEMS