How can computable general equilibrium models serve low-carbon policy? A systematic review
Computable general equilibrium (CGE) models have been widely employed in economic,
social, and environmental impact assessments for low-carbon policies. As net-zero transition …
social, and environmental impact assessments for low-carbon policies. As net-zero transition …
Modelling social aspects of the energy transition: What is the current representation of social factors in energy models?
A Krumm, D Süsser, P Blechinger - Energy, 2022 - Elsevier
Computer-based models provide decision-makers with techno-economic insights into
transition pathways for decarbonising energy systems. Such models mainly focus on techno …
transition pathways for decarbonising energy systems. Such models mainly focus on techno …
[HTML][HTML] Dynamic projection of anthropogenic emissions in China: methodology and 2015–2050 emission pathways under a range of socio-economic, climate policy …
Future trends in air pollution and greenhouse gas (GHG) emissions for China are of great
concern to the community. A set of global scenarios regarding future socio-economic and …
concern to the community. A set of global scenarios regarding future socio-economic and …
[HTML][HTML] Economy-wide impacts of behavioral climate change mitigation: Linking agent-based and computable general equilibrium models
L Niamir, O Ivanova, T Filatova - Environmental Modelling & Software, 2020 - Elsevier
Households are responsible for a significant share of global greenhouse emissions. Hence,
academic and policy discourses highlight behavioral changes among households as an …
academic and policy discourses highlight behavioral changes among households as an …
Assessing the macroeconomic impacts of individual behavioral changes on carbon emissions
In the last decade, instigated by the Paris agreement and United Nations Climate Change
Conferences (COP22 and COP23), the efforts to limit temperature increase to 1.5° C above …
Conferences (COP22 and COP23), the efforts to limit temperature increase to 1.5° C above …
Identification of the efficiency gap by coupling a fundamental electricity market model and an agent-based simulation model
L Torralba-Díaz, C Schimeczek, M Reeg, G Savvidis… - Energies, 2020 - mdpi.com
A reliable and cost-effective electricity system transition requires both the identification of
optimal target states and the definition of political and regulatory frameworks that enable …
optimal target states and the definition of political and regulatory frameworks that enable …
[HTML][HTML] An Assessment of Agent-Based Modelling Tools for Community-Based Adaptation to Climate Change
T Selje, R Islam, B Heinz - Applied Sciences, 2024 - mdpi.com
Human-induced climate change has highlighted the need for community-based adaptation
(CBA) to build resilience in vulnerable communities. CBA empowers communities to …
(CBA) to build resilience in vulnerable communities. CBA empowers communities to …
Assessment of the impacts of renewable energy variability in long-term decarbonization strategies
To meet the nationally determined contributions proposed by the countries that signed the
Paris Agreement, investments must be made in renewable generation technologies such as …
Paris Agreement, investments must be made in renewable generation technologies such as …
Energizing building renovation: Unraveling the dynamic interplay of building stock evolution, individual behaviour, and social norms
In recent years, discussions surrounding climate change have increasingly emphasized the
significance of demand-side solutions. This shift has led to an interdisciplinary and bottom …
significance of demand-side solutions. This shift has led to an interdisciplinary and bottom …
Temporal convolutional auto-encoder for residential non-intrusive load monitoring
W Liu, J Zhao, Y Yu, XP Zhang… - CSEE Journal of Power …, 2023 - ieeexplore.ieee.org
Non-intrusive load monitoring (NILM) enables the disaggregation of appliance power usage
through data gathered from the incoming power line. This disaggregation assists house …
through data gathered from the incoming power line. This disaggregation assists house …