Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the …

T Ahmad, R Madonski, D Zhang, C Huang… - … and Sustainable Energy …, 2022 - Elsevier
The current trend indicates that energy demand and supply will eventually be controlled by
autonomous software that optimizes decision-making and energy distribution operations …

[HTML][HTML] Trends in tools and approaches for modelling the energy transition

M Chang, JZ Thellufsen, B Zakeri, B Pickering… - Applied Energy, 2021 - Elsevier
Energy system models are crucial to plan energy transition pathways and understand their
impacts. A vast range of energy system modelling tools is available, providing modelling …

[HTML][HTML] Review and validation of EnergyPLAN

PA Østergaard, H Lund, JZ Thellufsen… - … and Sustainable Energy …, 2022 - Elsevier
Energy systems analyses are integrated elements in planning the transition towards
renewable energy-based energy systems. This is due to a growing complexity arising from …

[HTML][HTML] Review of urban building energy modeling (UBEM) approaches, methods and tools using qualitative and quantitative analysis

U Ali, MH Shamsi, C Hoare, E Mangina… - Energy and buildings, 2021 - Elsevier
The world has witnessed a significant population shift to urban areas over the past few
decades. Urban areas account for about two-thirds of the world's total primary energy …

Urban building energy modeling (UBEM) tools: A state-of-the-art review of bottom-up physics-based approaches

M Ferrando, F Causone, T Hong, Y Chen - Sustainable Cities and Society, 2020 - Elsevier
Regulations corroborate the importance of retrofitting existing building stocks or constructing
new energy-efficient districts. There is, thus, a need for modeling tools to evaluate energy …

Ten questions on urban building energy modeling

T Hong, Y Chen, X Luo, N Luo, SH Lee - Building and Environment, 2020 - Elsevier
Buildings in cities consume up to 70% of all primary energy. To achieve cities' energy and
climate goals, it is necessary to reduce energy use and associated greenhouse gas …

Data acquisition for urban building energy modeling: A review

C Wang, M Ferrando, F Causone, X Jin, X Zhou… - Building and …, 2022 - Elsevier
Abstract Urban Building Energy Modeling (UBEM) is essential for urban energy-related
applications. Its generation mainly requires four data inputs, including geometric data, non …

Urban energy use modeling methods and tools: A review and an outlook

N Abbasabadi, M Ashayeri - Building and environment, 2019 - Elsevier
Urban energy use modeling is important for understanding and managing energy
performance in cities. However, the existing methods and tools have limitations in …

Paving the way for the Paris Agreement: Contributions of SDEWES science

Z Guzović, N Duić, A Piacentino, N Markovska… - Energy, 2023 - Elsevier
Today, coal is responsible for 40% of annual CO 2 emissions. At the same time, global
warming causes climate changes accompanied with catastrophic meteorological …

Occupant-centric urban building energy modeling: Approaches, inputs, and data sources-A review

S Dabirian, K Panchabikesan, U Eicker - Energy and buildings, 2022 - Elsevier
Occupant-related inputs are significant parameters that influence energy simulation
accuracy at both the building and urban levels. In most previous research works, fixed …