On the public citation graph

Low-Carbon Optimal Design of Buildings Considering Different Thermal Zones

https://doi.org/10.2139/ssrn.4778884
0 signed · 30 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.apenergy.2018.05.094openalex-extracted
A Review of Transparent Insulation Material (TIM) for building energy saving and daylight comfort
inferredcites →https://doi.org/10.1016/j.apenergy.2021.117828openalex-extracted
PCA-ANN integrated NSGA-III framework for dormitory building design optimization: Energy efficiency, daylight, and thermal comfort
inferredcites →https://doi.org/10.1016/j.apenergy.2023.120934openalex-extracted
Intelligent multiobjective optimization design for NZEBs in China: Four climatic regions
inferredcites →https://doi.org/10.1016/j.applthermaleng.2019.01.013openalex-extracted
Thermal comfort prediction in a building category: Artificial neural network generation from calibrated models for a social housing stock in southern Europe
inferredcites →https://doi.org/10.1016/j.enbuild.2015.01.047openalex-extracted
Hourly prediction of a building's electricity consumption using case-based reasoning, artificial neural networks and principal component analysis
inferredcites →https://doi.org/10.1016/j.enbuild.2016.08.080openalex-extracted
Assessment of embodied carbon emissions for building construction in China: Comparative case studies using alternative methods
inferredcites →https://doi.org/10.1016/j.enbuild.2018.04.008openalex-extracted
Random Forest based hourly building energy prediction
inferredcites →https://doi.org/10.1016/j.enconman.2008.08.033openalex-extracted
Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks
inferredcites →https://doi.org/10.1016/j.ins.2023.03.004openalex-extracted
Shield attitude prediction based on Bayesian-LGBM machine learning
inferredcites →https://doi.org/10.1016/j.jclepro.2018.06.006openalex-extracted
Assessment of greenhouse gas emissions of ventilated timber wall constructions based on parametric LCA
inferredcites →https://doi.org/10.1016/j.jclepro.2021.126190openalex-extracted
Comparison and sensitivity analysis of embodied carbon emissions and costs associated with rural house construction in China to identify sustainable structural forms
inferredcites →https://doi.org/10.1016/j.jclepro.2022.131978openalex-extracted
An integrated framework for multi-objective optimization of building performance: Carbon emissions, thermal comfort, and global cost
inferredcites →https://doi.org/10.1016/j.jclepro.2023.140087openalex-extracted
Low-carbon design: Building optimization considering carbon emission, material utilization, and daylighting
inferredcites →https://doi.org/10.1016/j.rser.2014.12.027openalex-extracted
Energy analysis of the built environment—A review and outlook
inferredcites →https://doi.org/10.1016/j.scs.2020.102128openalex-extracted
Prediction of energy consumption in hotel buildings via support vector machines
inferredcites →https://doi.org/10.1016/j.scs.2020.102385openalex-extracted
Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear regression
inferredcites →https://doi.org/10.1016/j.scs.2020.102555openalex-extracted
Multi-objective optimization design of green building envelopes and air conditioning systems for energy conservation and CO2 emission reduction
inferredcites →https://doi.org/10.1016/j.scs.2020.102686openalex-extracted
Parallel computing and swarm intelligence based artificial intelligence model for multi-step-ahead hydrological time series prediction
inferredcites →https://doi.org/10.1016/j.scs.2022.104365openalex-extracted
Numerical analysis of thin building envelope-integrated phase change material towards energy-efficient buildings in severe hot location
inferredcites →https://doi.org/10.1016/j.scs.2023.104636openalex-extracted
A dynamic life cycle assessment model for long-term carbon emissions prediction of buildings: A passive building as case study
inferredcites →https://doi.org/10.1023/a:1007379606734openalex-extracted
Multitask Learning
inferredcites →https://doi.org/10.1080/00401706.1987.10488205openalex-extracted
Large Sample Properties of Simulations Using Latin Hypercube Sampling
inferredcites →https://doi.org/10.1109/4235.996017openalex-extracted
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/cec.2002.1004388openalex-extracted
MOPSO: a proposal for multiple objective particle swarm optimization
inferredcites →https://doi.org/10.1109/tevc.2007.892759openalex-extracted
MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
inferredcites →https://doi.org/10.1109/tevc.2013.2281535openalex-extracted
An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
inferredcites →https://doi.org/10.1145/3065386openalex-extracted
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1145/3219819.3220007openalex-extracted
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
inferredcites →https://doi.org/10.3929/ethz-a-004284029openalex-extracted
SPEA2: Improving the strength pareto evolutionary algorithm
inferredcites →https://doi.org/10.5281/zenodo.17754506openalex-extracted
Abstract Functional Language Logic: A Competitive Mixture of Experts Architecture for Paradox-Free Reasoning and Adaptive Intelligence
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.