Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the …
The current trend indicates that energy demand and supply will eventually be controlled by
autonomous software that optimizes decision-making and energy distribution operations …
autonomous software that optimizes decision-making and energy distribution operations …
[HTML][HTML] Trends in tools and approaches for modelling the energy transition
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 …
impacts. A vast range of energy system modelling tools is available, providing modelling …
[HTML][HTML] Review and validation of EnergyPLAN
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 …
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
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 …
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
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 …
new energy-efficient districts. There is, thus, a need for modeling tools to evaluate energy …
Ten questions on urban building energy modeling
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 …
climate goals, it is necessary to reduce energy use and associated greenhouse gas …
Data acquisition for urban building energy modeling: A review
Abstract Urban Building Energy Modeling (UBEM) is essential for urban energy-related
applications. Its generation mainly requires four data inputs, including geometric data, non …
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 …
performance in cities. However, the existing methods and tools have limitations in …
Paving the way for the Paris Agreement: Contributions of SDEWES science
Today, coal is responsible for 40% of annual CO 2 emissions. At the same time, global
warming causes climate changes accompanied with catastrophic meteorological …
warming causes climate changes accompanied with catastrophic meteorological …
Occupant-centric urban building energy modeling: Approaches, inputs, and data sources-A review
Occupant-related inputs are significant parameters that influence energy simulation
accuracy at both the building and urban levels. In most previous research works, fixed …
accuracy at both the building and urban levels. In most previous research works, fixed …