Neuro-fuzzy systems (NFS) can explicitly represent and model the input–output
relationships of complex problems and non-linear systems, like those inherent in real-world …

The latest boom of artificial intelligence (AI) has left the information management community
in strong need of structure-providing, high-level overview works. Such works are supposed …

Load forecasting is a crucial topic in energy management systems (EMS) due to its vital role
in optimizing energy scheduling and enabling more flexible and intelligent power grid …

The ultimate issue in electricity loads modelling is to improve forecasting accuracy as well as
guarantee a robust prediction result, which will save considerable manual labor material …

Achieving high accuracy in energy consumption forecasting is critical for improving energy
management and planning. However, this requires the selection of appropriate forecasting …

Knowledge-based expert systems are becoming one of the major tools for scientists and
engineers nowadays, since they have many attractive features and can be called upon to …

Artificial Neural Networks (ANNs) constitute a research area of high interest, for both
practitioners and academics, as they are found very useful for solving complex problems that …

Bilindiği üzere üretilen elektriğin makul fiyatlarla tüketiciye sunulabilmesi için ne kadar
elektrik tüketileceğinin daha önceden tahmin edilmesi gerekmektedir. Bu durum 4628 ve …

This paper introduces the China Energy & Environmental Policy Analysis (CEEPA) system.
The core of CEEPA is a recursive dynamic computable general equilibrium model, in which …

The majority of energy sources being used today are traditional types. These sources are
limited in nature and quantity. Additionally, they are continuously diminishing as global …