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Buildings' energy consumption prediction models based on buildings' characteristics: Research trends, taxonomy, and performance measures
Building's energy consumption prediction is essential to achieve energy efficiency and
sustain-ability. Building's energy consumption is highly dependent on buildings' …
sustain-ability. Building's energy consumption is highly dependent on buildings' …
[HTML][HTML] Modeling energy demand—a systematic literature review
PA Verwiebe, S Seim, S Burges, L Schulz… - Energies, 2021 - mdpi.com
In this article, a systematic literature review of 419 articles on energy demand modeling,
published between 2015 and 2020, is presented. This provides researchers with an …
published between 2015 and 2020, is presented. This provides researchers with an …
Building energy consumption prediction using multilayer perceptron neural network-assisted models; comparison of different optimization algorithms
Building energy prediction has gained significant attention as a thriving research field owing
to its immense potential in enhancing energy efficiency within building energy management …
to its immense potential in enhancing energy efficiency within building energy management …
Improving the prediction of heating energy consumed at residential buildings using a combination of support vector regression and meta-heuristic algorithms
The growing population has caused to increase in energy demand worldwide. Since
significant energy consumption in the residential building sector is assigned to the heating …
significant energy consumption in the residential building sector is assigned to the heating …
Building energy consumption prediction and optimization using different neural network-assisted models; comparison of different networks and optimization algorithms
The consumption of energy in buildings holds considerable importance within the realm of
overall energy usage. This underscores the critical nature of employing efficient strategies …
overall energy usage. This underscores the critical nature of employing efficient strategies …
Load based dynamic channel allocation model to enhance the performance of device-to-device communication in WPAN
The modern communication network has advanced to such an extent that it is now possible
for devices within a wireless personal area network (WPAN) to communicate among …
for devices within a wireless personal area network (WPAN) to communicate among …
Residential building energy consumption estimation: a novel ensemble and hybrid machine learning approach
In recent decades, there has been a substantial rise in both worldwide energy consumption
and the accompanying increase in Carbon Dioxide (CO 2) emissions, primarily propelled by …
and the accompanying increase in Carbon Dioxide (CO 2) emissions, primarily propelled by …
[HTML][HTML] Performance evaluation of two machine learning techniques in heating and cooling loads forecasting of residential buildings
Nowadays, since energy management of buildings contributes to the operation cost, many
efforts are made to optimize the energy consumption of buildings. In addition, the most …
efforts are made to optimize the energy consumption of buildings. In addition, the most …
Heating and cooling loads forecasting for residential buildings based on hybrid machine learning applications: A comprehensive review and comparative analysis
Prediction of building energy consumption plays an important role in energy conservation,
management, and planning. Continuously improving and enhancing the performance of …
management, and planning. Continuously improving and enhancing the performance of …
Fractional-order modeling and optimal control of a new online game addiction model based on real data
Y Guo, T Li - Communications in Nonlinear Science and Numerical …, 2023 - Elsevier
The spread of online games has become more and more serious in recent years, which not
only endangers the healthy growth of young people, but also has a certain potential harm to …
only endangers the healthy growth of young people, but also has a certain potential harm to …