Browsing Mühendislik ve Doğa Bilimleri Fakültesi by Subject "Time series analysis"
Now showing items 1-5 of 5
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Forecasting electricity demand for Turkey: Modeling periodic variations and demand segregation
(Elsevier, 2017)In deregulated electricity markets the independent system operator (ISO) oversees the power system and manages the supply and demand balancing process. In a typical day the ISO announces the electricity demand forecast for ... -
Forecasting Models For Daily Natural Gas Consumption Considering Periodic Variations And Demand Segregation
(Elsevier Ltd, 2020)Due to expensive infrastructure and the difficulties in storage, supply conditions of natural gas are different from those of other traditional energy sources like petroleum or coal. To overcome these challenges, supplier ... -
Hourly electricity demand forecasting using Fourier analysis with feedback
(Elsevıer, 2020)Whether it be long-term, like year-ahead, or short-term, such as hour-ahead or day-ahead, forecasting of electricity demand is crucial for the success of deregulated electricity markets. The stochastic nature of the demand ... -
Managing natural gas demand for free consumers under uncertainty and limited storage capacity
(Elsevier, 2020)Demand for energy sources depends on several factors such as population growth, urbanization, industrialization, and climate. Among fundamental energy sources, natural gas is characterized by storage limitations and ... -
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data Using Deep Learning: Early Detection of COVID-19 Outbreak in Italy
(Ieee-Inst Electrıcal Electronıcs Engıneers Inc, 2020)Unsupervised anomaly detection for spatio-temporal data has extensive use in a wide variety of applications such as earth science, traffic monitoring, fraud and disease outbreak detection. Most real-world time series data ...