Related references
Note: Only part of the references are listed.Transfer-Reinforcement-Learning-Based rescheduling of differential power grids considering security constraints
Tianjing Wang et al.
APPLIED ENERGY (2022)
Smart fusion of sensor data and human feedback for personalized energy-saving recommendations
Iraklis Varlamis et al.
APPLIED ENERGY (2022)
Geometric neuro-fuzzy transfer learning for in-cylinder pressure modelling of a diesel engine fuelled with raw microalgae oil
Ji Li et al.
APPLIED ENERGY (2022)
Abnormal detection technology of industrial control system based on transfer learning
Weiping Wang et al.
APPLIED MATHEMATICS AND COMPUTATION (2022)
Data-centric or algorithm-centric: Exploiting the performance of transfer learning for improving building energy predictions in data-scarce context
Cheng Fan et al.
ENERGY (2022)
A two-stage deep transfer learning for localisation of forced oscillations disturbance source
Shuang Feng et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2022)
Ensemble transfer learning for cutting energy consumption prediction of aviation parts towards green manufacturing
Fengyi Lu et al.
JOURNAL OF CLEANER PRODUCTION (2022)
IOT-based social-economic management of distribution system with the high penetration of renewable energy sources
Shenghong Ding et al.
SUSTAINABLE CITIES AND SOCIETY (2022)
Transfer Learning-powered Resource Optimization for Green Computing in 5G-Aided Industrial Internet of Things
Zhihan Lv et al.
ACM TRANSACTIONS ON INTERNET TECHNOLOGY (2022)
Black swan event small-sample transfer learning (BEST-L) and its case study on electrical power prediction in COVID-19
Chenxi Hu et al.
APPLIED ENERGY (2022)
Transfer learning for estimating occupancy and recognizing activities in smart buildings
Jawher Dridi et al.
BUILDING AND ENVIRONMENT (2022)
Prediction of building power consumption using transfer learning-based reference building and simulation dataset
Yusun Ahn et al.
ENERGY AND BUILDINGS (2022)
Short-term electric load prediction using transfer learning with interval estimate adjustment
Yuwei Jin et al.
ENERGY AND BUILDINGS (2022)
A novel method based on deep transfer unsupervised learning network for bearing fault diagnosis under variable working condition of unequal quantity
Hao Su et al.
KNOWLEDGE-BASED SYSTEMS (2022)
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges
Weihua Li et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions
Swarna Priya Ramu et al.
SUSTAINABLE CITIES AND SOCIETY (2022)
Neural network-based model predictive control system for optimizing building automation and management systems of sports facilities
Mariam Elnour et al.
APPLIED ENERGY (2022)
Performance and energy optimization of building automation and management systems: Towards smart sustainable carbon-neutral sports facilities
Mariam Elnour et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2022)
Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives
Giuseppe Pinto et al.
ADVANCES IN APPLIED ENERGY (2022)
Enabling accurate indoor localization for different platforms for smart cities using a transfer learning algorithm
Halgurd S. Maghdid et al.
INTERNET TECHNOLOGY LETTERS (2022)
Ensemble deep transfer learning driven by multisensor signals for the fault diagnosis of bevel-gear cross-operation conditions
Di ZiYang et al.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES (2021)
Real-time electricity price forecasting of wind farms with deep neural network transfer learning and hybrid datasets
Haolin Yang et al.
APPLIED ENERGY (2021)
Domain adaptation network with uncertainty modeling and its application to the online energy consumption prediction of ethylene distillation processes
Dan Yang et al.
APPLIED ENERGY (2021)
Intelligent energy prediction techniques for fog computing networks
Umar Farooq et al.
APPLIED SOFT COMPUTING (2021)
An IoT-based deep learning approach to analyse indoor thermal comfort of disabled people
Bouziane Brik et al.
BUILDING AND ENVIRONMENT (2021)
A hybrid deep transfer learning strategy for thermal comfort prediction in buildings
Nivethitha Somu et al.
BUILDING AND ENVIRONMENT (2021)
A Review of Deep Learning Techniques for Forecasting Energy Use in Buildings
Jason Runge et al.
ENERGIES (2021)
A hybrid deep transfer learning strategy for short term cross-building energy prediction
Xi Fang et al.
ENERGY (2021)
A general multi-source ensemble transfer learning framework integrate of LSTM-DANN and similarity metric for building energy prediction
Xi Fang et al.
ENERGY AND BUILDINGS (2021)
Transfer learning-based strategies for fault diagnosis in building energy systems
Jiangyan Liu et al.
ENERGY AND BUILDINGS (2021)
Fault detection diagnostic for HVAC systems via deep learning algorithms
Saman Taheri et al.
ENERGY AND BUILDINGS (2021)
Energy-conscious optimization of Edge Computing through Deep Reinforcement Learning and two-phase immersion cooling
Sergio Perez et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2021)
Smart Sensing and End-Users' Behavioral Change in Residential Buildings: An Edge-Based Internet of Energy Perspective
Abdullah Alsalemi et al.
IEEE SENSORS JOURNAL (2021)
Data-driven predictive control for unlocking building energy flexibility: A review
Anjukan Kathirgamanathan et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
Diagnosis of wind turbine faults with transfer learning algorithms
Wanqiu Chen et al.
RENEWABLE ENERGY (2021)
Image recognition of wind turbine blade damage based on a deep learning model with transfer learning and an ensemble learning classifier
Xiyun Yang et al.
RENEWABLE ENERGY (2021)
Transfer Learning for Distributed Intelligence in Aerial Edge Networks
Ke Zhang et al.
IEEE WIRELESS COMMUNICATIONS (2021)
DB-Net: A novel dilated CNN based multi-step forecasting model for power consumption in integrated local energy systems
Noman Khan et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)
Deep learning models for solar irradiance forecasting: A comprehensive review
Pratima Kumari et al.
JOURNAL OF CLEANER PRODUCTION (2021)
A polymorphic heterogeneous security architecture for edge-enabled smart grids
Zhihao Wang et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Non-intrusive load disaggregation of smart home appliances using the IPPO algorithm and FHM model
Dong Xia et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
A general and transferable deep learning framework for predicting phase formation in materials
Shuo Feng et al.
NPJ COMPUTATIONAL MATERIALS (2021)
Deep learning for online AC False Data Injection Attack detection in smart grids: An approach using LSTM-Autoencoder
Liqun Yang et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2021)
Lithium-ion battery capacity estimation-A pruned convolutional neural network approach assisted with transfer learning
Yihuan Li et al.
APPLIED ENERGY (2021)
Anomaly detection of power consumption in yarn spinning using transfer learning
Chuqiao Xu et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2021)
A general transfer learning-based framework for thermal load prediction in regional energy system
Yakai Lu et al.
ENERGY (2021)
A Micro-Moment System for Domestic Energy Efficiency Analysis
Abdullah Alsalemi et al.
IEEE SYSTEMS JOURNAL (2021)
Predictive Battery Health Management With Transfer Learning and Online Model Correction
Yunhong Che et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)
A multi-energy load prediction model based on deep multi-task learning and ensemble approach for regional integrated energy systems
Wang Xuan et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)
Transfer learning driven sequential forecasting and ventilation control of PM2.5 associated health risk levels in underground public facilities
Shahzeb Tariq et al.
JOURNAL OF HAZARDOUS MATERIALS (2021)
Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer
Gabriel Michau et al.
KNOWLEDGE-BASED SYSTEMS (2021)
EWNet: An early warning classification framework for smart grid based on local-to-global perception
Feng Gao et al.
NEUROCOMPUTING (2021)
Development of an IoT and BIM-based automated alert system for thermal comfort monitoring in buildings
Mojtaba Valinejadshoubi et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
Yassine Himeur et al.
APPLIED ENERGY (2021)
Transfer learning for thermal comfort prediction in multiple cities
Nan Gao et al.
BUILDING AND ENVIRONMENT (2021)
Comparative Evaluation of Non-Intrusive Load Monitoring Methods Using Relevant Features and Transfer Learning
Sarra Houidi et al.
ENERGIES (2021)
Deep transfer learning for COVID-19 detection and infection localization with superpixel based segmentation
N. B. Prakash et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
From time series to image analysis: A transfer learning approach for night setback identification of district heating substations
Fan Zhang et al.
JOURNAL OF BUILDING ENGINEERING (2021)
An online transfer learning-based remaining useful life prediction method of ball bearings
Fuchuan Zeng et al.
MEASUREMENT (2021)
Fault Line Selection Method Based on Transfer Learning Depthwise Separable Convolutional Neural Network
Haixia Zhang et al.
Journal of Electrical and Computer Engineering (2021)
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
Yassine Himeur et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Meta-regression framework for energy consumption prediction in a smart city: A case study of Songdo in South Korea
Berny Carrera et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
State of charge prediction framework for lithium-ion batteries incorporating long short-term memory network and transfer learning
Yu Liu et al.
JOURNAL OF ENERGY STORAGE (2021)
Resilient power network structure for stable operation of energy systems: A transfer learning approach
Wanjun Huang et al.
APPLIED ENERGY (2021)
Transfer learning based methodology for migration and application of fault detection and diagnosis between building chillers for improving energy efficiency
Xu Zhu et al.
BUILDING AND ENVIRONMENT (2021)
Data-driven fault diagnosis for heterogeneous chillers using domain adaptation techniques
Ron van de Sand et al.
CONTROL ENGINEERING PRACTICE (2021)
Edge HVAC Analytics
Ioan Petri et al.
ENERGIES (2021)
A Procedure for Automating Energy Analyses in the BIM Context Exploiting Artificial Neural Networks and Transfer Learning Technique
Mikhail Demianenko et al.
ENERGIES (2021)
Development of a back-propagation neural network and adaptive grey wolf optimizer algorithm for thermal comfort and energy consumption prediction and optimization
Lu Li et al.
ENERGY AND BUILDINGS (2021)
A novel adversarial transfer learning in deep convolutional neural network for intelligent diagnosis of gas-insulated switchgear insulation defect A DATCNN for GIS insulation defect diagnosis
Yanxin Wang et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2021)
A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects
Yassine Himeur et al.
INFORMATION FUSION (2021)
A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids
Sheraz Aslam et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
Wind turbine fault diagnosis based on transfer learning and convolutional autoencoder with small-scale data
Yanting Li et al.
RENEWABLE ENERGY (2021)
An Online Data-Driven Fault Diagnosis Method for Air Handling Units by Rule and Convolutional Neural Networks
Huanyue Liao et al.
SENSORS (2021)
Parameter estimation of unknown properties using transfer learning from virtual to existing buildings
Yun-Dam Ko et al.
JOURNAL OF BUILDING PERFORMANCE SIMULATION (2021)
Deep-Learning-Based Probabilistic Forecasting of Electric Vehicle Charging Load With a Novel Queuing Model
Xian Zhang et al.
IEEE TRANSACTIONS ON CYBERNETICS (2021)
Nonintrusive Residential Electricity Load Decomposition Based on Transfer Learning
Mingzhi Yang et al.
SUSTAINABILITY (2021)
Solid-State Lithium Battery Cycle Life Prediction Using Machine Learning
Danpeng Cheng et al.
APPLIED SCIENCES-BASEL (2021)
Multipath TCP Meets Transfer Learning: A Novel Edge-Based Learning for Industrial IoT
Shiva Raj Pokhrel et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
Stochastic energy management and scheduling of microgrids in correlated environment: A deep learning-oriented approach
Tan Cheng et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Adapting Gaussian YOLOv3 with transfer learning for overhead view human detection in smart cities and societies
Imran Ahmed et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Automated rail surface crack analytics using deep data-driven models and transfer learning
Zhong Zheng et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Forecasting state-of-health of lithium-ion batteries using variational long short-term memory with transfer learning
Seongyoon Kim et al.
JOURNAL OF ENERGY STORAGE (2021)
Deep Transfer Learning-Based Feature Extraction: An Approach to Improve Nonintrusive Load Monitoring
Diego L. Cavalca et al.
IEEE ACCESS (2021)
Calendar Ageing Model for Li-Ion Batteries Using Transfer Learning Methods
Markel Azkue et al.
WORLD ELECTRIC VEHICLE JOURNAL (2021)
Transfer learning applied to DRL-Based heat pump control to leverage microgrid energy efficiency
Paulo Lissa et al.
SMART ENERGY (2021)
The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency
Christos Sardianos et al.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS (2021)
A Building Energy Consumption Prediction Method Based on Integration of a Deep Neural Network and Transfer Reinforcement Learning
Qiming Fu et al.
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE (2020)
Online transfer learning with multiple source domains for multi-class classification
Zhongfeng Kang et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Online detection for bearing incipient fault based on deep transfer learning
Wentao Mao et al.
MEASUREMENT (2020)
NeuralCompression: A machine learning approach to compress high frequency measurements in smart grid
Laya Das et al.
APPLIED ENERGY (2020)
Statistical investigations of transfer learning-based methodology for short-term building energy predictions
Cheng Fan et al.
APPLIED ENERGY (2020)
A hybrid transfer learning model for short-term electric load forecasting
Xianze Xu et al.
ELECTRICAL ENGINEERING (2020)
Solving the Cold-Start Problem in Short-Term Load Forecasting Using Tree-Based Methods
Jihoon Moon et al.
ENERGIES (2020)
The use of artificial intelligence (AI) methods in the prediction of thermal comfort in buildings: energy implications of AI-based thermal comfort controls
Jack Ngarambe et al.
ENERGY AND BUILDINGS (2020)
An adaptive deep transfer learning method for bearing fault diagnosis
Zhenghong Wu et al.
MEASUREMENT (2020)
Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting
Di Wu et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
Transfer Learning for Non-Intrusive Load Monitoring
Michele D'Incecco et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
Transfer learning with deep neural networks for model predictive control of HVAC and natural ventilation in smart buildings
Yujiao Chen et al.
JOURNAL OF CLEANER PRODUCTION (2020)
Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building
Tuong Le et al.
SENSORS (2020)
Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
Yassine Himeur et al.
APPLIED ENERGY (2020)
Transfer learning for process fault diagnosis: Knowledge transfer from simulation to physical processes
Weijun Li et al.
COMPUTERS & CHEMICAL ENGINEERING (2020)
Multi-Step Solar Irradiance Forecasting and Domain Adaptation of Deep Neural Networks
Giorgio Guariso et al.
ENERGIES (2020)
A bi-directional missing data imputation scheme based on LSTM and transfer learning for building energy data
Jun Ma et al.
ENERGY AND BUILDINGS (2020)
Monthly Electric Load Forecasting Using Transfer Learning for Smart Cities
Seung-Min Jung et al.
SUSTAINABILITY (2020)
Blockchain and federated learning-based distributed computing defence framework for sustainable society
Pradip Kumar Sharma et al.
SUSTAINABLE CITIES AND SOCIETY (2020)
Generative Adversarial Networks
Ian Goodfellow et al.
COMMUNICATIONS OF THE ACM (2020)
Deep learning and transfer learning models of energy consumption forecasting for a building with poor information data
Yuan Gao et al.
ENERGY AND BUILDINGS (2020)
A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic
Abu Sufian et al.
JOURNAL OF SYSTEMS ARCHITECTURE (2020)
A Novel Approach for Detecting Anomalous Energy Consumption Based on Micro-Moments and Deep Neural Networks
Yassine Himeur et al.
COGNITIVE COMPUTATION (2020)
DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning
Guanyu Gao et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations
Yassine Himeur et al.
INFORMATION FUSION (2020)
Convergence of blockchain and artificial intelligence in IoT network for the sustainable smart city
Saurabh Singh et al.
SUSTAINABLE CITIES AND SOCIETY (2020)
Beyond energy savings: The necessity of optimising smart electricity systems with resource efficiency and coherent waste policy in Europe
Heyd F. Mas et al.
ENERGY RESEARCH & SOCIAL SCIENCE (2020)
Cooperating Edge Cloud-Based Hybrid Online Learning for Accelerated Energy Data Stream Processing in Load Forecasting
Changha Lee et al.
IEEE ACCESS (2020)
Intelligent Cooperative Edge Computing in Internet of Things
Chao Gong et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
Building power consumption datasets: Survey, taxonomy and future directions
Yassine Himeur et al.
ENERGY AND BUILDINGS (2020)
Secure and resilient demand side management engine using machine learning for IoT-enabled smart grid
Muhammad Babar et al.
SUSTAINABLE CITIES AND SOCIETY (2020)
Achieving Domestic Energy Efficiency Using Micro-Moments and Intelligent Recommendations
Abdullah Alsalemi et al.
IEEE ACCESS (2020)
Deep learning-based feature engineering methods for improved building energy prediction
Cheng Fan et al.
APPLIED ENERGY (2019)
Tuning machine learning models for prediction of building energy loads
Saleh Seyedzadeh et al.
SUSTAINABLE CITIES AND SOCIETY (2019)
Transfer-learning based gas path analysis method for gas turbines
Shanxuan Tang et al.
APPLIED THERMAL ENGINEERING (2019)
Deep Learning With Edge Computing: A Review
Jiasi Chen et al.
PROCEEDINGS OF THE IEEE (2019)
Non-Intrusive Load Monitoring by Voltage-Current Trajectory Enabled Transfer Learning
Yanchi Liu et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
A review of deep learning for renewable energy forecasting
Huaizhi Wang et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning
Dipendra Jha et al.
NATURE COMMUNICATIONS (2019)
Analysis of thermal energy saving potentials through adjusting user behavior in hotel buildings of the Yangtze River region
Yichao Wang et al.
SUSTAINABLE CITIES AND SOCIETY (2019)
A deep learning method for online capacity estimation of lithium-ion batteries
Sheng Shen et al.
JOURNAL OF ENERGY STORAGE (2019)
Probabilistic Wind Power Forecasting Approach via Instance-Based Transfer Learning Embedded Gradient Boosting Decision Trees
Long Cai et al.
ENERGIES (2019)
A new wind turbine health condition monitoring method based on VMD-MPE and feature-based transfer learning
He Ren et al.
MEASUREMENT (2019)
Heterogeneous Transfer Learning for Thermal Comfort Modeling
Weizheng Hu et al.
BUILDSYS'19: PROCEEDINGS OF THE 6TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION (2019)
Towards reproducible state-of-the-art energy disaggregation
Nipun Batra et al.
BUILDSYS'19: PROCEEDINGS OF THE 6TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION (2019)
Demo Abstract: A demonstration of reproducible state-of-the-art energy disaggregation using NILMTK
Nipun Batra et al.
BUILDSYS'19: PROCEEDINGS OF THE 6TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION (2019)
Learning Across Tasks and Domains
Pierluigi Zama Ramirez et al.
2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (2019)
Energy Predictive Models with Limited Data using Transfer Learning
Ali Hooshmand et al.
E-ENERGY'19: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS (2019)
Using transfer learning for smart building management system
Bens Pardamean et al.
JOURNAL OF BIG DATA (2019)
Similarity-Based Chained Transfer Learning for Energy Forecasting With Big Data
Yifang Tian et al.
IEEE ACCESS (2019)
Transfer learning for aluminium extrusion electricity consumption anomaly detection via deep neural networks
Peng Liang et al.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING (2018)
Negative transfer detection in transductive transfer learning
Lin Gui et al.
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2018)
Transfer learning with seasonal and trend adjustment for cross-building energy forecasting
Mauro Ribeiro et al.
ENERGY AND BUILDINGS (2018)
Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning
Van Nhan Nguyen et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2018)
A novel transfer learning framework for time series forecasting
Rui Ye et al.
KNOWLEDGE-BASED SYSTEMS (2018)
Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services
Mehdi Mohammadi et al.
IEEE INTERNET OF THINGS JOURNAL (2018)
Evaluation of multiple linear, neural network and penalised regression models for prediction of rice yield based on weather parameters for west coast of India
Bappa Das et al.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY (2018)
SSDS: A Smart Software-Defined Security Mechanism for Vehicle-to-Grid Using Transfer Learning
Shen Wang et al.
IEEE ACCESS (2018)
UniversalNILM: A Semi-supervised Energy Disaggregation Framework using General Appliance Models
Bontor Humala et al.
E-ENERGY'18: PROCEEDINGS OF THE 9TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS (2018)
Deep transfer Q-learning with virtual leader-follower for supply-demand Stackelberg game of smart grid
Xiaoshun Zhang et al.
ENERGY (2017)
Generalized online transfer learning for climate control in residential buildings
Thomas Grubinger et al.
ENERGY AND BUILDINGS (2017)
Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources
Qingyao Wu et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2017)
An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study
David Murray et al.
SCIENTIFIC DATA (2017)
Wind power prediction using deep neural network based meta regression and transfer learning
Aqsa Saeed Qureshi et al.
APPLIED SOFT COMPUTING (2017)
Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning
Elena Mocanu et al.
ENERGY AND BUILDINGS (2016)
Domain Adaptation for the Classification of Remote Sensing Data An overview of recent advances
Devis Tuia et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2016)
An online learning approach for quantifying personalized thermal comfort via adaptive stochastic modeling
Ali Ghahramani et al.
BUILDING AND ENVIRONMENT (2015)
Transfer learning using computational intelligence: A survey
Jie Lu et al.
KNOWLEDGE-BASED SYSTEMS (2015)
On-line learning of indoor temperature forecasting models towards energy efficiency
F. Zamora-Martinez et al.
ENERGY AND BUILDINGS (2014)
Utilizing artificial neural network to predict energy consumption and thermal comfort level: An indoor swimming pool case study
Bans Yuce et al.
ENERGY AND BUILDINGS (2014)
Assessing the energy efficiency improvement potentials of HVAC systems considering economic and environmental aspects at the hospitals
Ahmet Teke et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)
Learning to Learn, from Transfer Learning to Domain Adaptation: A Unifying Perspective
Novi Patricia et al.
2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2014)
Transfer learning for activity recognition: a survey
Diane Cook et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2013)
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
David Moher et al.
PLOS MEDICINE (2009)