The microgrid connected with the battery energy storage system is a promising solution to
address carbon emission problems and achieve the global decarbonization goal by 2050 …

Nanofluids have gained significant popularity in the field of sustainable and renewable
energy systems. The heat transfer capacity of the working fluid has a huge impact on the …

Deeply decarbonizing electricity production will likely require low-carbon sources that meet
energy demand throughout days, years, and decades. Renewable energy sources (RES) …

The main purpose of this paper is to develop an efficient multi-stage methodology to predict
carbon dioxide emissions based on two important variables including the energy …

This paper proposes a photovoltaic (PV) model for the design of PV systems with a simple
MPPT to achieve high efficiency, faster response and low cost. First, a PV panel model is …

As it is hard to estimate the energy consumption and to optimize the cutting parameters in
different tool wear status, this paper presents a novel intelligent reasoning system for the …

Hybrid renewable electric energy generation system become essential to the most of electric
networks and the stand-alone systems like the water pumping and telecommunication …

Premise and consequent parameters of ANFIS are optimized by an optimization algorithm in
its training process. A successful optimization algorithm should be utilized for an effective …

In this paper, a novel control strategy is shown for the stabilisation of dynamic systems in the
form of port-Hamiltonian systems. This hybrid approach composed by a neural fuzzy and …

In the process of intelligent manufacturing, appropriate learning algorithm and intelligent
model are necessary. In this work, a novel learning algorithm named random vibration and …