Research on forecasting methods of time series data has become one of the hot spots. More
and more time series data are produced in various fields. It provides data for the research of …

In last few decades, many methods are proposed for time‐series forecasting. As always,
when alternatives exists, choice needs to be made so that an appropriate forecasting …

Heat transfer takes place in every aspect of our daily life. Many situations, such as energy
conversion plants, heating devices, and cooling systems, focus on heat transfer. One of the …

Due to the importance of electricity and its impact on human life and the environment,
several studies have been conducted to forecast and possibly reduce the electricity load …

In recent years, hybrid models, using more than one models together, are presented in the
field of time series analysis. One of the most important hybrid model classes is ARIMA …

Zaman serileri analizi alanında son yıllarda birden çok modelin bir arada kullanıldığı melez
modeller ortaya konulmaktadır. Literatürde yer alan en önemli melez model sınıflarından biri …

Heuristic algorithms are successfully being applied to solution of time series datasets. The
algorithms can be improved further for an elevated level of success. In this study, a hybrid …

Insulation is one of the essential energy efficiency and sustainability topics. While insulation
is primarily the subject of buildings, insulation can also be made in pipes and heat …

Budget forecasting plays an essential role in management activities. Governments,
corporations, and companies want to know what they are spending in the future periods. It …

Forecasting of future rainfall from previous years data samples has always challenging and
major area to focus. There are various factors are applied to anticipate the rainfall such as …