[HTML][HTML] A comprehensive study of renewable energy sources: Classifications, challenges and suggestions
Renewable energy (RE) is the key element of sustainable, environmentally friendly, and cost-
effective electricity generation. An official report by International Energy Agency (IEA) states …
effective electricity generation. An official report by International Energy Agency (IEA) states …
Multi-objective optimization methods and application in energy saving
Y Cui, Z Geng, Q Zhu, Y Han - Energy, 2017 - Elsevier
Multi-objective optimization problems are difficult to solve in that the optimized objectives are
usually conflicting with each other. It is usually hard to find an optimal solution that satisfies …
usually conflicting with each other. It is usually hard to find an optimal solution that satisfies …
How does future climatic uncertainty affect multi-objective building energy retrofit decisions? Evidence from residential buildings in subtropical Hong Kong
Energy consumption of and carbon emissions from buildings, which substantially depend on
outdoor climate conditions, may be susceptible to future climate change. However, how …
outdoor climate conditions, may be susceptible to future climate change. However, how …
Use of artificial intelligence in smart cities for smart decision-making: A social innovation perspective
The goal of this study is to investigate the direct and indirect relationships that exist between
artificial intelligence (AI), social innovation (SI), and smart decision-making (SDM). This …
artificial intelligence (AI), social innovation (SI), and smart decision-making (SDM). This …
Life cycle assessment (LCA) of building refurbishment: A literature review
This review organises and summarises the recent contributions related to the environmental
evaluation of building refurbishment and renovation using the lifecycle assessment (LCA) …
evaluation of building refurbishment and renovation using the lifecycle assessment (LCA) …
A review on simulation-based optimization methods applied to building performance analysis
Recent progress in computer science and stringent requirements of the design of “greener”
buildings put forwards the research and applications of simulation-based optimization …
buildings put forwards the research and applications of simulation-based optimization …
Multi-objective optimization for building retrofit: A model using genetic algorithm and artificial neural network and an application
Retrofitting of existing buildings offers significant opportunities for improving occupants'
comfort and well-being, reducing global energy consumption and greenhouse gas …
comfort and well-being, reducing global energy consumption and greenhouse gas …
Optimization methods applied to renewable and sustainable energy: A review
Energy is a vital input for social and economic development. As a result of the generalization
of agricultural, industrial and domestic activities the demand for energy has increased …
of agricultural, industrial and domestic activities the demand for energy has increased …
Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making
Non-domestic buildings contribute 20% of the UK's annual carbon emissions. A contribution
exacerbated by its ageing stock of which only 7% is considered new-build. Consequently …
exacerbated by its ageing stock of which only 7% is considered new-build. Consequently …
Energy performance optimization of existing buildings: A literature review
Energy retrofit and renovation of existing buildings have an effective role in reducing carbon
dioxide emissions and ultimately global warming. Therefore, there is an increasing interest …
dioxide emissions and ultimately global warming. Therefore, there is an increasing interest …