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Electricity Load Forecasting Using Deep Learning and Novel Hybrid Models
(Sakarya University, 2022)
Load forecasting is an essential task which is executed by electricity retail companies. By
predicting the demand accurately, companies can prevent waste of resources and blackouts.
Load forecasting directly affect the ...
Movie Recommendation Systems Based on Collaborative Filtering: A Case Study on Netflix
(Erciyes Üniversitesi, 2021)
User ratings on items like movies, songs, and shopping products are used
by Recommendation Systems (RS) to predict user preferences for items that have
not been rated. RS has been utilized to give suggestions to users ...
Optimal location determination of electric vehicle charging stations: A case study on Turkey's most preferred highway
(Bitlis Eren Üniversitesi, 2022)
Today, electric vehicles are seen as one of the most suitable and environmentally
friendly alternatives to internal combustion engine vehicles. An important issue
related to the dissemination of electric vehicles is the ...
Analysis of under-five mortality by diseases in countries with different levels of development: a comparative analysis
(Prusa Medikal Yayıncılık, 2023)
Objectives: The right to health is critical for children because they are sensitive beings who are more
susceptible to disease and health problems. It would be beneficial to compare child mortality rates in countries
with ...
Parameter uncertainties in evaluating climate policies with dynamic integrated climate-economy model
(SPRINGER, 2024)
Climate change is a complex issue with signifcant scientifc and socio-economic uncertainties, making it difcult to assess
the efectiveness of climate policies. Dynamic Integrated Climate-Economy Models (DICE models) have ...