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A review on genetic algorithm: past, present, and future
S Katoch, SS Chauhan, V Kumar - Multimedia tools and applications, 2021 - Springer
In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic
algorithms of great interest in research community are selected for analysis. This review will …
algorithms of great interest in research community are selected for analysis. This review will …
A review on time series forecasting techniques for building energy consumption
Energy consumption forecasting for buildings has immense value in energy efficiency and
sustainability research. Accurate energy forecasting models have numerous implications in …
sustainability research. Accurate energy forecasting models have numerous implications in …
A review on optimization methods applied in energy-efficient building geometry and envelope design
F Kheiri - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Building envelope parameters and geometric configurations can considerably influence the
building energy performance. However, determining the best trade-offs of different building …
building energy performance. However, determining the best trade-offs of different building …
Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms
During the last few years, multi-objective optimization processes have become one of the
main challenges for energy efficiency in buildings. In this work, a new efficient multi …
main challenges for energy efficiency in buildings. In this work, a new efficient multi …
Optimization and integration of hybrid renewable energy hydrogen fuel cell energy systems–A critical review
ELV Eriksson, EMA Gray - Applied energy, 2017 - Elsevier
Electricity generation presents the biggest opportunity to lower CO 2 emissions and it is
foreseen that hydrogen energy technology will play an important role in realising the …
foreseen that hydrogen energy technology will play an important role in realising the …
Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders
Energy consumption in buildings is increasing because of social development and
urbanization. Forecasting the energy consumption in buildings is essential for improving …
urbanization. Forecasting the energy consumption in buildings is essential for improving …
[HTML][HTML] Modelling community-scale renewable energy and electric vehicle management for cold-climate regions using machine learning
With increasing environmental problems of fossil fuel-based devices and systems in
societies, diffusion and adoption of sustainability solutions such as renewable energy …
societies, diffusion and adoption of sustainability solutions such as renewable energy …
A review on building energy efficient design optimization rom the perspective of architects
X Shi, Z Tian, W Chen, B Si, X ** - Renewable and Sustainable Energy …, 2016 - Elsevier
Energy efficiency is a mandatory requirement and integral part of green and sustainable
buildings. Energy efficient design optimization is both a design philosophy and a practical …
buildings. Energy efficient design optimization is both a design philosophy and a practical …
Neural network based optimization approach for energy demand prediction in smart grid
Energy usage and demand forecasting is an essential and complex task in real time
implementation. Proper coordination is required between the consumer and power …
implementation. Proper coordination is required between the consumer and power …
Parallel genetic algorithms: a useful survey
In this article, we encompass an analysis of the recent advances in parallel genetic
algorithms (PGAs). We have selected these algorithms because of the deep interest in many …
algorithms (PGAs). We have selected these algorithms because of the deep interest in many …