Metaheuristics‐optimized deep learning to predict generation of sustainable energy from rooftop plant microbial fuel cells

JS Chou, TC Cheng, CY Liu… - International Journal of …, 2022 - Wiley Online Library
Plant microbial fuel cells (PMFCs) are an emergent green‐energy technology that
continuously converts solar energy into electricity. Placing PMFCs on the roofs of urban …

Optimal Data-Driven Modelling of a Microbial Fuel Cell

MO Oyedeji, A Alharbi, M Aldhaifallah, H Rezk - Energies, 2023 - mdpi.com
Microbial fuel cells (MFCs) are biocells that use microorganisms as biocatalysts to break
down organic matter and convert chemical energy into electrical energy. Presently, the …

Modeling of microbial fuel cell power generation using machine learning-based super learner algorithms

SMZ Hossain, N Sultana, S Haji, ST Mufeez, SE Janahi… - Fuel, 2023 - Elsevier
Electricity generation from microbial fuel cells (MFCs) is a potential environment-friendly
technology. This study provides Bayesian Algorithm (BA) based Support Vector Regression …

Optimization of an artificial neural network topology using response surface methodology for microbial fuel cell power prediction

S Malekmohammadi, SA Mirbagheri - Biotechnology Progress, 2022 - Wiley Online Library
Microbial fuel cells (MFCs) are among the newest bioelectrical devices that have attracted
significant attention because they convert biodegradable organic matter to electricity. MFC …

A new approach for improving microbial fuel cell performance using artificial intelligence

Y Abdollahfard, M Sedighi, M Ghasemi - Sustainability, 2023 - mdpi.com
Microbial fuel cells have recently received considerable attention as a potential source of
renewable energy. Due to its complex and hybrid nature, it has significant nonlinear features …

Optimizing multi-variables of microbial fuel cell for electricity generation with an integrated modeling and experimental approach

F Fang, GL Zang, M Sun, HQ Yu - Applied energy, 2013 - Elsevier
Microbial fuel cell (MFC) is a device that transforms chemical energy in wastewater into
electricity, and its performance is influenced by multi-variables. Mathematic modeling …

Optimization of electricity generation parameters with microbial fuel cell using the response surface method

S Neşeli, K Dincer, Ş Taşdemir… - Arabian Journal for …, 2022 - Springer
Due to an ever-increasing population and developments in technology, the demand for
energy has been increasing daily. In order to meet this demand, renewable and alternative …

Performance evaluation of microbial fuel cell by artificial intelligence methods

A Garg, V Vijayaraghavan, SS Mahapatra, K Tai… - Expert systems with …, 2014 - Elsevier
In the present study, performance of microbial fuel cell (MFC) has been modeled using three
potential artificial intelligence (AI) methods such as multi-gene genetic programming …

Boosting the power density of two‐chamber microbial fuel cell: Modeling and optimization

H Rezk, AG Olabi, MA Abdelkareem… - International Journal of …, 2022 - Wiley Online Library
This paper estimates the optimal input parameters of a two‐chamber microbial fuel cell
(TCMFC) by employing Harris hawk's optimization (HHO) and ANFIS modeling. The goal is …

Optimized hybridized mathematical model for wastewater treatment and energy generation using microbial fuel cells

R Liu, Y Lin, G Xu, Y Li, R Premalatha… - … Energy Technologies and …, 2021 - Elsevier
In the current era of urbanization and industrialization, water pollution and energy
generation are the main concerns in the climate change context. Microbial Fuel Cells …