Data-driven, long-term prediction of building performance under climate change: Building energy demand and BIPV energy generation analysis across Turkey
This research presents a methodological framework for lifetime energy demand and PV
energy generation predictions for a given building considering the CC impacts through …
energy generation predictions for a given building considering the CC impacts through …
Educational building retrofit under climate change and urban heat island effect
Climate change (CC) and urban heat island (UHI) are important environmental forces that
have serious consequences for the existing buildings, such as increased resource …
have serious consequences for the existing buildings, such as increased resource …
Coupling PCM wallboard utilization with night Ventilation: Energy efficiency and overheating risk in office buildings under climate change impact
The rising population and increasing thermal comfort expectations are expected to
exacerbate the already high HVAC use in offices, which unavoidably places a strain on …
exacerbate the already high HVAC use in offices, which unavoidably places a strain on …
Predicting reference evapotranspiration based on hydro-climatic variables: comparison of different machine learning models
This paper aimed to estimate the reference evapotranspiration (ET0) due to some limitations
of the Food and Agriculture Organization-56 Penman-Monteith (FAO 56-PM) approach by …
of the Food and Agriculture Organization-56 Penman-Monteith (FAO 56-PM) approach by …
Accuracy evaluation of standardized precipitation index (SPI) estimation under conventional assumption in Yeşilırmak, Kızılırmak, and Konya Closed Basins, Turkey
MA Hinis, MS Geyikli - Advances in Meteorology, 2023 - Wiley Online Library
The doubt in the calculation algorithm of the standardized precipitation index (SPI), which is
widely preferred in the evaluation and monitoring of drought, still remains up‐to‐date …
widely preferred in the evaluation and monitoring of drought, still remains up‐to‐date …
[HTML][HTML] Climate-resilient building energy efficiency retrofit: Evaluating climate change impacts on residential buildings
G Tomrukcu, T Ashrafian - Energy and Buildings, 2024 - Elsevier
Buildings have the potential to mitigate climate change effects by integrating energy-efficient
solutions. Building resilient design strategies based on forthcoming weather predictions …
solutions. Building resilient design strategies based on forthcoming weather predictions …
Digital circuit implementation and PRNG-based data security application of variable-order fractional Hopfield neural network under electromagnetic radiation using …
S Kaçar - The European Physical Journal Special Topics, 2022 - Springer
In this study, for the first time in the literature, a Variable-Order Fractional Hopfield Neural
Network Under Electromagnetic Radiation (VOFHNNUER) has been presented. Also, for the …
Network Under Electromagnetic Radiation (VOFHNNUER) has been presented. Also, for the …
Machine learning based evaluation of window parameters on building energy performance and occupant thermal comfort under climate change
G Akköse, A Duran, İ Gürsel Dino… - Journal of the Faculty of …, 2023 - avesis.metu.edu.tr
This study aims to evaluate the effect of climate change on energy consumption and thermal
comfort of an existing educational building and to use machine learning techniques for …
comfort of an existing educational building and to use machine learning techniques for …
A new data-hiding algorithm for multi-channel biomedical signals based on variable-order fractional chaotic neural networks with frequency effect
S Kaçar - The European Physical Journal Special Topics, 2022 - Springer
In this study, a new variable-order fractional chaotic neural network with frequency effect is
proposed based on Hopfield Neural Network Under Electromagnetic Radiation, which is …
proposed based on Hopfield Neural Network Under Electromagnetic Radiation, which is …
Future performance evaluation of PCM integrated buildings under changing climate
The high energy consumption and associated carbon emissions due to the heating and
cooling of buildings create a heavy environmental burden. One of the cost-efficient solutions …
cooling of buildings create a heavy environmental burden. One of the cost-efficient solutions …