标题
Review of data-driven energy modelling techniques for building retrofit
作者
关键词
Building retrofit, Data-driven modelling, Energy models, Greenhouse-gas (GHG) emissions mitigation, Building simulation, In-situ measurements, Machine learning
出版物
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 144, Issue -, Pages 110990
出版商
Elsevier BV
发表日期
2021-03-31
DOI
10.1016/j.rser.2021.110990
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Unsupervised learning of energy signatures to identify the heating system and building type using smart meter data
- (2020) Paul Westermann et al. APPLIED ENERGY
- Investment decision-making optimization of energy efficiency retrofit measures in multiple buildings under financing budgetary restraint
- (2019) Yong He et al. JOURNAL OF CLEANER PRODUCTION
- Comparative analysis of the PCM application according to the building type as retrofit system
- (2019) Ji Hun Park et al. BUILDING AND ENVIRONMENT
- Impacts of future weather data typology on building energy performance – Investigating long-term patterns of climate change and extreme weather conditions
- (2019) Amin Moazami et al. APPLIED ENERGY
- Economic feasibility of building retrofitting mitigation potentials: Climate change uncertainties for Swedish cities
- (2019) Érika Mata et al. APPLIED ENERGY
- Temperature-preference learning with neural networks for occupant-centric building indoor climate controls
- (2019) Yuzhen Peng et al. BUILDING AND ENVIRONMENT
- Building dynamic thermal model calibration using the Energy House facility at Salford
- (2019) Yingchun Ji et al. ENERGY AND BUILDINGS
- Adaptation of climate-responsive building design strategies and resilience to climate change in the hot/arid region of Khartoum, Sudan
- (2019) Mobark M. Osman et al. Sustainable Cities and Society
- Building energy model calibration using automated optimization-based algorithm
- (2019) Somayeh Asadi et al. ENERGY AND BUILDINGS
- Application of artificial neutral network and geographic information system to evaluate retrofit potential in public school buildings
- (2019) F. Re Cecconi et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Data-driven strategic planning of building energy retrofitting: The case of Stockholm
- (2019) Oleksii Pasichnyi et al. JOURNAL OF CLEANER PRODUCTION
- Wireless sensor network for estimating building performance
- (2019) Mario Frei et al. AUTOMATION IN CONSTRUCTION
- Development of a lightweight building simulation tool using simplified zone thermal coupling for fast parametric study
- (2018) Pengyuan Shen et al. APPLIED ENERGY
- Machine learning-based thermal response time ahead energy demand prediction for building heating systems
- (2018) Yabin Guo et al. APPLIED ENERGY
- Robotic data collection and simulation for evaluation of building retrofit performance
- (2018) Bharadwaj R.K. Mantha et al. AUTOMATION IN CONSTRUCTION
- Review of Unmanned Aerial System (UAS) applications in the built environment: Towards automated building inspection procedures using drones
- (2018) Tarek Rakha et al. AUTOMATION IN CONSTRUCTION
- Energy-efficiency building retrofit planning for green building compliance
- (2018) Yuling Fan et al. BUILDING AND ENVIRONMENT
- Primary energy benefits of cost-effective energy renovation of a district heated multi-family building under different energy supply systems
- (2018) Ambrose Dodoo et al. ENERGY
- Thermal load forecasting in district heating networks using deep learning and advanced feature selection methods
- (2018) Gowri Suryanarayana et al. ENERGY
- SOCIAL HOUSING REFURBISHMENT IN MEDITERRANEAN CLIMATE: COST-OPTIMAL ANALYSIS TOWARDS THE N-ZEB TARGET
- (2018) Cristina Carpino et al. ENERGY AND BUILDINGS
- A data-driven approach for building energy benchmarking using the Lorenz curve
- (2018) Yibo Chen et al. ENERGY AND BUILDINGS
- Determining key variables influencing energy consumption in office buildings through cluster analysis of pre- and post-retrofit building data
- (2018) Chirag Deb et al. ENERGY AND BUILDINGS
- The determinants of energy efficient retrofit investments in the English residential sector
- (2018) Gianluca Trotta ENERGY POLICY
- Platform for controlling and getting data from network connected drones in indoor environments
- (2018) Adrián Arenal Pereira et al. Future Generation Computer Systems-The International Journal of eScience
- Using artificial neural networks to assess HVAC related energy saving in retrofitted office buildings
- (2018) Chirag Deb et al. SOLAR ENERGY
- A low energy demand scenario for meeting the 1.5 °C target and sustainable development goals without negative emission technologies
- (2018) Arnulf Grubler et al. Nature Energy
- Building retrofit optimization models using notch test data considering energy performance certificate compliance
- (2018) Yuling Fan et al. APPLIED ENERGY
- Universal path planning for an indoor drone
- (2018) Fangyu Li et al. AUTOMATION IN CONSTRUCTION
- Energy efficiency retrofits in the residential sector – analysing tenants’ cost burden in a German field study
- (2018) Ines Weber et al. ENERGY POLICY
- Developing a Framework for Improvement of Building Thermal Performance Modeling under Urban Microclimate Interactions
- (2018) Mohammadreza Shirzadi et al. Sustainable Cities and Society
- The feasibility and importance of considering climate change impacts in building retrofit analysis
- (2018) Pengyuan Shen et al. APPLIED ENERGY
- Development and validation of an HVAC on/off controller in EnergyPlus for energy simulation of residential and small commercial buildings
- (2018) Kristen S Cetin et al. ENERGY AND BUILDINGS
- A screening methodology for building multiple energy retrofit measures package considering economic and risk aspects
- (2018) Donglin Zheng et al. JOURNAL OF CLEANER PRODUCTION
- Life cycle thinking toward sustainable development policy-making: The case of energy retrofits
- (2018) Olatz Pombo et al. JOURNAL OF CLEANER PRODUCTION
- Scenarios of energy efficiency and CO2 emissions reduction potential in the buildings sector in China to year 2050
- (2018) Nan Zhou et al. Nature Energy
- Impact of climate change on energy use and bioclimatic design of residential buildings in the 21st century in Argentina
- (2018) Silvana Flores-Larsen et al. ENERGY AND BUILDINGS
- A novel methodology to explain and evaluate data-driven building energy performance models based on interpretable machine learning
- (2018) Cheng Fan et al. APPLIED ENERGY
- Design of machine learning models with domain experts for automated sensor selection for energy fault detection
- (2018) R.L. Hu et al. APPLIED ENERGY
- A comprehensive cost-optimal approach for energy retrofit of existing multi-family buildings: Application to apartment blocks in Turkey
- (2017) Neşe Ganiç Sağlam et al. ENERGY AND BUILDINGS
- CASA, cost-optimal analysis by multi-objective optimisation and artificial neural networks: A new framework for the robust assessment of cost-optimal energy retrofit, feasible for any building
- (2017) Fabrizio Ascione et al. ENERGY AND BUILDINGS
- Ensemble Calibration of lumped parameter retrofit building models using Particle Swarm Optimization
- (2017) Carlos Andrade-Cabrera et al. ENERGY AND BUILDINGS
- Five energy retrofit houses in South Wales
- (2017) Phil Jones et al. ENERGY AND BUILDINGS
- Energy efficiency to reduce residential electricity and natural gas use under climate change
- (2017) Janet L. Reyna et al. Nature Communications
- The reliability of inverse modelling for the wide scale characterization of the thermal properties of buildings
- (2017) Alfonso P. Ramallo-González et al. Journal of Building Performance Simulation
- Reduced order modeling and parameter identification of a building energy system model through an optimization routine
- (2016) V.S.K.V. Harish et al. APPLIED ENERGY
- Development of a new energy benchmark for improving the operational rating system of office buildings using various data-mining techniques
- (2016) Hyo Seon Park et al. APPLIED ENERGY
- Estimating hourly cooling load in commercial buildings using a thermal network model and electricity submetering data
- (2016) Ying Ji et al. APPLIED ENERGY
- Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings
- (2016) Junjing Yang et al. ENERGY AND BUILDINGS
- Applications of machine learning methods to identifying and predicting building retrofit opportunities
- (2016) Daniel E. Marasco et al. ENERGY AND BUILDINGS
- Applied machine learning: Forecasting heat load in district heating system
- (2016) Samuel Idowu et al. ENERGY AND BUILDINGS
- Energy retrofit analysis toolkits for commercial buildings: A review
- (2015) Sang Hoon Lee et al. ENERGY
- The impacts of household retrofit and domestic energy efficiency schemes: A large scale, ex post evaluation
- (2015) Phil Webber et al. ENERGY POLICY
- An original tool for checking energy performance and certification of buildings by means of Artificial Neural Networks
- (2014) C. Buratti et al. APPLIED ENERGY
- A multi-objective optimization model for the life-cycle cost analysis and retrofitting planning of buildings
- (2014) Bo Wang et al. ENERGY AND BUILDINGS
- A new methodology for building energy performance benchmarking: An approach based on intelligent clustering algorithm
- (2014) Xuefeng Gao et al. ENERGY AND BUILDINGS
- A multiple objective optimisation model for building energy efficiency investment decision
- (2013) Esrom Mahlatsi Malatji et al. ENERGY AND BUILDINGS
- Existing building retrofits: Methodology and state-of-the-art
- (2012) Zhenjun Ma et al. ENERGY AND BUILDINGS
- Identifying suitable models for the heat dynamics of buildings
- (2011) Peder Bacher et al. ENERGY AND BUILDINGS
- The unintended consequences of decarbonising the built environment: A UK case study
- (2011) M. Davies et al. ENERGY AND BUILDINGS
- Global warming and its implication to emission reduction strategies for residential buildings
- (2010) Xiaoming Wang et al. BUILDING AND ENVIRONMENT
- Parameter identification with the software package LORD
- (2006) Olaf Gutschker BUILDING AND ENVIRONMENT
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