Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
Machine learning for geographically differentiated climate change mitigation in urban areas
N Milojevic-Dupont, F Creutzig - Sustainable Cities and Society, 2021 - Elsevier
Artificial intelligence and machine learning are transforming scientific disciplines, but their
full potential for climate change mitigation remains elusive. Here, we conduct a systematic …
full potential for climate change mitigation remains elusive. Here, we conduct a systematic …
A review of climate change implications for built environment: Impacts, mitigation measures and associated challenges in developed and developing countries
This interdisciplinary review organizes, summarizes and critically analyzes the literature
regarding the nexus between climate change and the built environment, its associated …
regarding the nexus between climate change and the built environment, its associated …
Heat Roadmap Europe: Identifying strategic heat synergy regions
This study presents a methodology to assess annual excess heat volumes from fuel
combustion activities in energy and industry sector facilities based on carbon dioxide …
combustion activities in energy and industry sector facilities based on carbon dioxide …
Measuring completeness of building footprints in OpenStreetMap over space and time
Due to financial or administrative constraints, access to official spatial base data is currently
limited to a small subset of all potential users in the field of spatial planning and research …
limited to a small subset of all potential users in the field of spatial planning and research …
Semantic classification of urban buildings combining VHR image and GIS data: An improved random forest approach
S Du, F Zhang, X Zhang - ISPRS journal of photogrammetry and remote …, 2015 - Elsevier
While most existing studies have focused on extracting geometric information on buildings,
only a few have concentrated on semantic information. The lack of semantic information …
only a few have concentrated on semantic information. The lack of semantic information …
Simulation tools to build urban-scale energy models: A review
The development of Urban-Scale Energy Modelling (USEM) at the district or city level is
currently the goal of many research groups due to the increased interest in evaluating the …
currently the goal of many research groups due to the increased interest in evaluating the …
[HTML][HTML] Heat roadmap Europe: Heat distribution costs
This analysis elaborates further the concept of physical and economic suitability for district
heating in EU28 by an aggregation regarding key dimensions such as land areas …
heating in EU28 by an aggregation regarding key dimensions such as land areas …
Automatic identification of building types based on topographic databases–a comparison of different data sources
Data, maps and services of the national mapping and cadastral agencies contain geometric
information on buildings, particularly building footprints. However, building type information …
information on buildings, particularly building footprints. However, building type information …
GIS-based assessment of the district heating potential in the USA
HC Gils, J Cofala, F Wagner, W Schöpp - Energy, 2013 - Elsevier
A methodology for the GIS (Geographic Information System) based analysis of DH (District
Heating) potentials is introduced and applied to the continental United States. The energy …
Heating) potentials is introduced and applied to the continental United States. The energy …