Browsing by Subject "Forecasting"
Now showing items 1-10 of 10
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Bayesian and Graph Theory Approaches to Develop Strategic Early Warning Systems for the Milk Market
(Springer-Verlag Berlin, 2015)This paper presents frameworks for developing a Strategic Early Warning System allowing the estimatation of the future state of the milk market. Thus this research is in line with the recent call from the EU commission for ... -
A Bayesian approach to developing a strategic early warning system for the French milk market
(Halmstad University, 2017)A new approach is provided in our paper for creating a strategic early warning system allowing the estimation of the future state of the milk market as scenarios. This is in line with the recent call from the EU commission ... -
Click prediction boosting via Bayesian hyperparameter optimization-based ensemble learning pipelines
(Elsevier B.V., 2023)Online travel agencies (OTA's) advertise their website offers on meta-search bidding engines. The problem of predicting the number of clicks a hotel would receive for a given bid amount is an important step in the management ... -
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 ... -
Forecasting the Short-Term Electricity In Steel Manufacturing For Purchase Accuracy on Day-Ahead Market
(Institute of Electrical and Electronics Engineers Inc., 2022)Forecasting electricity consumption in the most accurate way is crucial for purchase on the day-ahead market in steel manufacturing. This study is aimed to predict short-term electricity consumption regarding the day-ahead ... -
A Framework to Forecast Electricity Consumption of Meters using Automated Ranking and Data Preprocessing
(Econjournals, 2023)Forecasting electricity consumption is crucial for the operation planning of distribution companies and suppliers and for the success of deregulated electricity markets as a whole. Distribution companies often need consumption ... -
Istanbul Dam Water Levels Forecasting Using ARIMA Models
(Institute of Electrical and Electronics Engineers Inc., 2022)River, sea, reservoir, and dam water levels are constantly measured by organizations and governmental bodies because of their environmental effects as well as their influence on human behavior. In this study, the monthly ... -
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 ... -
MuscleNET: Smart Predictive Analysis for Muscular Activity Using Wearable Sensors
(Institute of Electrical and Electronics Engineers Inc., 2022)Doing weightlifting training at home has become more popular during the pandemic. Unfortunately, exercising without professional help can lead to dangerous injuries such as muscle tearing. It is possible to create a smart ... -
Reviewing the Effects of Spatial Features on Price Prediction for Real Estate Market: Istanbul Case
(Institute of Electrical and Electronics Engineers Inc., 2022)In the real estate market, spatial features play a crucial role in determining property appraisals and prices. When spatial features are considered, classification techniques have been rarely studied compared to regression, ...