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。The key role of aggregators in the energy transition under the latest European regulatory framework
Selina Kerscher et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2022)
Transfer learning in demand response: A review of algorithms for data-efficient modelling and control
Thijs Peirelinck et al.
ENERGY AND AI (2022)
Development of an ANN-based building energy model for information-poor buildings using transfer learning
Ao Li et al.
BUILDING SIMULATION (2021)
Data-driven district energy management with surrogate models and deep reinforcement learning
Giuseppe Pinto et al.
APPLIED ENERGY (2021)
Optimal Scheduling of Microgrid Based on Deep Deterministic Policy Gradient and Transfer Learning
Luqin Fan 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)
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang et al.
PROCEEDINGS OF THE IEEE (2021)
Data-driven predictive control for unlocking building energy flexibility: A review
Anjukan Kathirgamanathan et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
A review of machine learning in building load prediction
Liang Zhang et al.
APPLIED ENERGY (2021)
A general transfer learning-based framework for thermal load prediction in regional energy system
Yakai Lu et al.
ENERGY (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)
A framework for estimating the energy-saving potential of occupant behaviour improvement
Zhiyuan He 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)
Reinforcement learning of occupant behavior model for cross-building transfer learning to various HVAC control systems
Zhipeng Deng et al.
ENERGY AND BUILDINGS (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)
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)
A Procedure for Automating Energy Analyses in the BIM Context Exploiting Artificial Neural Networks and Transfer Learning Technique
Mikhail Demianenko et al.
ENERGIES (2021)
Coordinated energy management for a cluster of buildings through deep reinforcement learning
Giuseppe Pinto et al.
ENERGY (2021)
Deep Transfer Learning for Industrial Automation: A Review and Discussion of New Techniques for Data-Driven Machine Learning
Benjamin Maschler et al.
IEEE INDUSTRIAL ELECTRONICS MAGAZINE (2021)
A synthetic building operation dataset
Han Li et al.
SCIENTIFIC DATA (2021)
A combined deep learning application for short term load forecasting
Ilyas Ozer et al.
ALEXANDRIA ENGINEERING JOURNAL (2021)
Deep Learning Explicit Differentiable Predictive Control Laws for Buildings
Jan Drgona et al.
IFAC PAPERSONLINE (2021)
Transfer learning applied to DRL-Based heat pump control to leverage microgrid energy efficiency
Paulo Lissa et al.
SMART ENERGY (2021)
Transfer Learning in Smart Environments
Amin Anjomshoaa et al.
MACHINE LEARNING AND KNOWLEDGE EXTRACTION (2021)
Individualized Short-Term Electric Load Forecasting With Deep Neural Network Based Transfer Learning and Meta Learning
Eunjung Lee et al.
IEEE ACCESS (2021)
Study on Data Transfer in Meteorological Forecast of Small and Medium-Sized Cities and Its Application in Zhaoqing City
Tianwen Huang et al.
COMPUTER JOURNAL (2020)
Multi-agent based multi objective renewable energy management for diversified community power consumers
Linyun Xiong 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)
Solving the Cold-Start Problem in Short-Term Load Forecasting Using Tree-Based Methods
Jihoon Moon et al.
ENERGIES (2020)
Transfer Learning for Non-Intrusive Load Monitoring
Michele D'Incecco et al.
IEEE TRANSACTIONS ON SMART GRID (2020)
Forecasting customers' response to incentives during peak periods: A transfer learning approach
Long Cai et al.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2020)
State-of-the-art on research and applications of machine learning in the building life cycle
Tianzhen Hong et al.
ENERGY AND BUILDINGS (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)
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)
All you need to know about model predictive control for buildings
Jan Drgona et al.
ANNUAL REVIEWS IN CONTROL (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)
Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review
Ioannis Antonopoulos et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)
Early decarbonisation of the European energy system pays off
Marta Victoria et al.
NATURE COMMUNICATIONS (2020)
ACCURATE DETECTION OF HISTORICAL BUILDINGS USING AERIAL PHOTOGRAPHS AND DEEP TRANSFER LEARNING
Yongzhu Xiong et al.
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (2020)
An electricity load forecasting model for Integrated Energy System based on BiGAN and transfer learning
Dengji Zhou et al.
ENERGY REPORTS (2020)
Blockchain technology in the energy sector: A systematic review of challenges and opportunities
Merlinda Andoni et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2019)
A Survey of User-Centred Approaches for Smart Home Transfer Learning and New User Home Automation Adaptation
S. M. Murad Ali et al.
APPLIED ARTIFICIAL INTELLIGENCE (2019)
Non-Intrusive Load Monitoring by Voltage-Current Trajectory Enabled Transfer Learning
Yanchi Liu et al.
IEEE TRANSACTIONS ON SMART GRID (2019)
Recognition and classification of typical load profiles in buildings with non-intrusive learning approach
Marco Savino Piscitelli et al.
APPLIED ENERGY (2019)
Probabilistic Wind Power Forecasting Approach via Instance-Based Transfer Learning Embedded Gradient Boosting Decision Trees
Long Cai et al.
ENERGIES (2019)
Transfer Learning for Leisure Centre Energy Consumption Prediction
Paul Banda et al.
COMPUTATIONAL SCIENCE - ICCS 2019, PT I (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)
A review of fault detection and diagnostics methods for building systems
Woohyun Kim et al.
SCIENCE AND TECHNOLOGY FOR THE BUILT ENVIRONMENT (2018)
Deep-learning neural-network architectures and methods: Using component based models in building-design energy prediction
Sundaravelpandian Singaravel et al.
ADVANCED ENGINEERING INFORMATICS (2018)
Approximate model predictive building control via machine learning
Jan Drgona et al.
APPLIED ENERGY (2018)
Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities
Gianluca Serale et al.
ENERGIES (2018)
Transfer learning with seasonal and trend adjustment for cross-building energy forecasting
Mauro Ribeiro et al.
ENERGY AND BUILDINGS (2018)
A review of data-driven building energy consumption prediction studies
Kadir Amasyali et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
A Scalable Room Occupancy Prediction with Transferable Time Series Decomposition of CO2 Sensor Data
Irvan B. Arief-Ang et al.
ACM TRANSACTIONS ON SENSOR NETWORKS (2018)
Generalized online transfer learning for climate control in residential buildings
Thomas Grubinger et al.
ENERGY AND BUILDINGS (2017)
Smart meter deployment in Europe: A comparative case study on the impacts of national policy schemes
Shan Zhou et al.
JOURNAL OF CLEANER PRODUCTION (2017)
Data science for building energy management: A review
Miguel Molina-Solana et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2017)
A Feature-Based Knowledge Transfer Framework for Cross-Environment Activity Recognition Toward Smart Home Applications
Yi-Ting Chiang et al.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS (2017)
Cooperative MPC-Based Energy Management for Networked Microgrids
Alessandra Parisio et al.
IEEE TRANSACTIONS ON SMART GRID (2017)
A novel methodology for energy performance benchmarking of buildings by means of Linear Mixed Effect Model: The case of space and DHW heating of out-patient Healthcare Centres
Alfonso Capozzoli et al.
APPLIED ENERGY (2016)
Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning
Elena Mocanu et al.
ENERGY AND BUILDINGS (2016)
Energy savings by energy management systems: A review
Dasheng Lee et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)
Load Profiling and Its Application to Demand Response: A Review
Yi Wang et al.
TSINGHUA SCIENCE AND TECHNOLOGY (2015)
Methods for benchmarking building energy consumption against its past or intended performance: An overview
Zhengwei Li et al.
APPLIED ENERGY (2014)
Overview and performance assessment of the clustering methods for electrical load pattern grouping
Gianfranco Chicco
ENERGY (2012)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
分享论文
