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Knowing the number of floors of all buildings in a city is vital in many areas of urban planning such as energy demand prediction, estimation of inhabitant numbers of specific buildings or the calculation of population densities. Also, novel ...

Understanding energy consumption in the residential sector remains challenging. In current regression models, prediction performance on a test dataset is frequently used to justify the ability of the associated model to correctly describe the energy ...

Buildings contribute 38% of emissions worldwide. Reduced buildings-related emissions for use cases including building codes, policy impacts, utility planning, building design, sizing HVAC, and controlling building systems would benefit from relevant, ...

Building thermal modeling is the founding stone upon which numerous carbon reduction strategies in the building sector are built. Yet, as of today, little to no interpretable and calibrated models founded on real-world measurements have been open-...

We present an image dataset and a deep learning model that enable the prediction of attributes such as floor area for low-rise buildings (i.e., houses). The dataset consists of 34,600 images of 16,403 buildings in the city of Toronto, Canada, each of ...

In this research, different materials are evaluated to improve reflectivity and reduce the thermal load generated by solar irradiation in buildings that use fiber cement tiles. This study aims to find commercial materials that are affordable and ...

This work focuses on a literature review that characterizes the most prominent lines of research on energy efficiency in educational buildings, including energy use intensity (EUI); the implementation of energy efficiency measurement; the results ...

The development of various machine learning methods helps to improve the performance of the thermal comfort estimation. However, thermal comfort datasets are usually unbalanced because hot/cold environments rarely appear in an air-conditioned ...

The rapid growth of machine learning (black-box) techniques and computing capacity has started to transform many research domains, including building performance analysis. However, physical interpretation of these models remains a challenge due to their ...

We introduce Sinergym, an open-source building simulation and control framework for training reinforcement learning agents. The proposed framework is compatible with EnergyPlus models and allows to implement Python-based controllers, facilitating ...

Achieving a comfortable thermal situation within buildings with an efficient use of energy remains still an open challenge for most buildings. In this regard, IoT (Internet of Things) and KDD (Knowledge Discovery in Databases) processes may be combined ...

Energy management plays an important role in the smart sustainable cities development programme to utilise energy resources in a responsible manner for conserving the environment and improving well-being of the society. Building sector is one of the ...

Seismic assessment of an urban environment is a time-consuming and complicated task that also requires considerable financial resources. In this paper, we suggest an approach to the seismic evaluation of urban buildings based on data mining methods. ...

In order to improve the safety of building structure, the discrete element method is introduced to test the stability of building concrete structure. Taking reinforced concrete as the research object and using Mohr-Coulomb criterion as the concrete ...

The morning start time of heating and cooling equipment plays an important role in the energy and comfort performance of buildings. Existing algorithms to guide this decision require either many data types with a consistent labelling nomenclature or a ...

Fulfilling occupants’ comfort whilst reducing energy consumption is still an unsolved problem in most of tertiary buildings. However, the expansion of the Internet of Things (IoT) and Knowledge Discovery in Databases (KDD) techniques lead to research ...

Energy consumption of buildings represents roughly 40% of the overall energy consumption. Most of the national agendas include rigorous measures aimed at reducing the energy consumption and, thereby, the carbon footprint. Timely and accurate Fault ...

Cities across the country (20 to date) are rapidly passing laws to mandate the collection and disclosure of energy usage data with the hopes that such data could be utilized to benchmark building energy performance and provide a basis for designing and ...

Energy use of buildings represents roughly 40% of the overall energy consumption. Most of the national agendas contain goals related to reducing the energy consumption and carbon footprint. Timely and accurate fault detection and diagnosis (FDD) in ...

Energy cost from hvac is a significant fraction of the overall operational cost of a commercial building. Moreover, in developing countries such as India with inadequate grid connectivity and frequent outages, diesel generators are a common source of ...