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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 ...
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 ...