Electricity is one of the most important end-user energy types in today's world and has an
effective role in development of societies and economies. Stability of electricity supply is …

This paper studies the performance of an artificial neural network (ANN) with teaching–
learning-based optimization (TLBO) for modeling electric energy demand (EED) in Turkey …

This study compares the performance of standalone adaptive neuro-fuzzy inference system
(ANFIS) and its hybrid with particle swarm optimisation (PSO) in predicting the energy …

The residential sector is a major consumer of electricity, and its demand will rise by 65
percent by the end of 2050. The electricity consumption of a household is determined by …

Energy demand management is particularly important for developing and emerging
economies. Their energy consumptions increase significantly, depending on their growing …

Natural gas stands out among fossil fuels because it is relatively cleaner. It is also an
important energy source type for several fields such as electricity production, industry, and …

In this study, the overall energy status of Turkey in the early stage of the COVID-19
pandemic was analyzed. The situation in the energy market and electricity demand in the …

Long-term load forecasting is a significant and complex topic in electric distribution systems.
Forecasters is need to proper forecasting methodologies and smart solutions to minimize …

Forecasting electricity consumption is a very important issue for governments and electricity
related foundations of public sector. Recently, Grey Modelling (GM (1, 1)) has been used to …

In energy sector, accurate prediction of long term gas consumption is very important for
decision-making and policy process. In addition, conventional approaches may not provide …