Gross electricity consumption forecasting using LSTM and SARIMA approaches: A case study of Türkiye
Gross electricity consumption (GEC) forecasts are an essential tool for policymakers in
developing countries. It is widely acknowledged that GEC forecasting models contribute …
developing countries. It is widely acknowledged that GEC forecasting models contribute …
[HTML][HTML] Performance evaluation of seasonal solar irradiation models—Case study: Karapınar town, Turkey
ÖA Karaman - Case Studies in Thermal Engineering, 2023 - Elsevier
This paper presents the application of Particle Swarm Optimization (PSO) Algorithm, Artificial
Neural Networks (ANNs) and Bagged Tree (BT) methods for forecasting seasonal solar …
Neural Networks (ANNs) and Bagged Tree (BT) methods for forecasting seasonal solar …
Harnessing the power of AI: Advanced deep learning models optimization for accurate SARS-CoV-2 forecasting
The pandemic has significantly affected many countries including the USA, UK, Asia, the
Middle East and Africa region, and many other countries. Similarly, it has substantially …
Middle East and Africa region, and many other countries. Similarly, it has substantially …
Energy consumption forecasting based on spatio-temporal behavioral analysis for demand-side management
Understanding user-level energy demand is pivotal for sustainable development and smart
grid implementation, as it facilitates optimal resource allocation and energy conservation …
grid implementation, as it facilitates optimal resource allocation and energy conservation …
Classification of electronic components based on convolutional neural network Architecture
I Atik - Energies, 2022 - mdpi.com
Electronic components are basic elements that are widely used in many industrial and
technological fields. With the development of technology, their dimensions are being …
technological fields. With the development of technology, their dimensions are being …
Deep learning in public health: Comparative predictive models for COVID-19 case forecasting
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …
Impacts of COVID-19 on educational buildings energy consumption: case study of the university of Jordan
The global lockdowns adopted by many countries to combat the outbreak of the COVID-19
pandemic led to a significant transformation in the teaching methods adopted in higher …
pandemic led to a significant transformation in the teaching methods adopted in higher …
An Online Probability Density Load Forecasting Against Concept Drift Under Anomalous Events
C Cao, Y He - IEEE Transactions on Industrial Informatics, 2023 - ieeexplore.ieee.org
Concept drift (ie, the data pattern to be learned can change over time) is becoming more
common in power loads due to the volatile external environment, posing huge challenges …
common in power loads due to the volatile external environment, posing huge challenges …
[PDF][PDF] A Survey of Quantitative Techniques in Electricity Consumption—A Global Perspective
This study uses the Scopus and Web of Science databases to review quantitative methods
to forecast electricity consumption from 2015 to 2024. Using the PRISMA approach, 175 …
to forecast electricity consumption from 2015 to 2024. Using the PRISMA approach, 175 …
Parallel convolutional neural networks and transfer learning for classifying landforms in satellite images
I Atik - Information Technology and Control, 2023 - itc.ktu.lt
The use of remote sensing has great potential for detecting many natural differences, such
as disasters, climate changes, and urban changes. Due to technological advances in …
as disasters, climate changes, and urban changes. Due to technological advances in …