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Toplam kayıt 12, listelenen: 1-10
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 ...
Dynamic rolling horizon control approach for a university campus
(Elsevier Ltd, 2022)
An energy management system based on the rolling horizon control approach has been proposed for the grid-connected
dynamic and stochastic microgrid of a university campus in Malta. The aims of the study are to minimize ...
A novel integration of MCDM methods and Bayesian networks: the case of incomplete expert knowledge
(SPRINGER, 2022)
In this study, we propose an effective integration of multi criteria decision making methods
and Bayesian networks (BN) that incorporates expert knowledge. The novelty of this approach
is that it provides decision support ...
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 ...
Optimizing Electric Vehicle Charging Station Location on Highways: A Decision Model for Meeting Intercity Travel Demand
(MDPI, 2023)
Electric vehicles have emerged as one of the top environmentally friendly alternatives
to traditional internal combustion engine vehicles. The development of a comprehensive charging
infrastructure, particularly determining ...
A Multi-Objective Mathematical Programming Model for Transit Network Design and Frequency Setting Problem
(MDPI, 2023)
In this study, we propose a novel multi-objective nonlinear mixed-integer mathematical
programming model for the transit network design and frequency setting problem that aims at designing
the routes and determining the ...
A simulation-based approximate dynamic programming approach to dynamic and stochastic resource-constrained multi-project scheduling problem
(ELSEVIER, 2024)
We consider the dynamic and stochastic resource-constrained multi-project scheduling problem which allows
for the random arrival of projects and stochastic task durations. Completing projects generates rewards, which
are ...
Türkiye’de Yapılan Kuraklık Analiz Çalışmaları Üzerine Bir Derleme
(Ankara Üniversitesi, 2022)
Kuraklık, iklim değişikliği konusunun önem kazanmasıyla birlikte, özellikle 2000’li yıllardan sonra bilim insanları tarafından en çok çalışılan afet konularından birisi olmuştur. Kuraklık konusunda birçok farklı yöntemin ...
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 ...