Neuro-fuzzy resource forecast in site suitability assessment for wind and solar energy: A mini review

PA Adedeji, SA Akinlabi, N Madushele… - Journal of Cleaner …, 2020 - Elsevier
Site suitability problems in renewable energy studies have taken a new turn since the
advent of geographical information system (GIS). GIS has been used for site suitability …

Wind turbine power output very short-term forecast: A comparative study of data clustering techniques in a PSO-ANFIS model

PA Adedeji, S Akinlabi, N Madushele… - Journal of Cleaner …, 2020 - Elsevier
The emergence of new sites for wind energy exploration in South Africa requires an
accurate prediction of the potential power output of a typical utility-scale wind turbine in such …

Hybrid adaptive neuro-fuzzy inference system (ANFIS) for a multi-campus university energy consumption forecast

PA Adedeji, S Akinlabi, N Madushele… - International Journal of …, 2022 - Taylor & Francis
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 …

An Improved Particle Swarm Optimization and Adaptive Neuro‐Fuzzy Inference System for Predicting the Energy Consumption of University Residence

S Oladipo, Y Sun, O Adeleke - International Transactions on …, 2023 - Wiley Online Library
Future energy planning relies on understanding how much energy is produced and
consumed. In response, this study developed a multihybrid adaptive neuro‐fuzzy inference …

Determination of industrial energy demand in Turkey using MLR, ANFIS and PSO-ANFIS

D Guleryuz - Journal of Artificial Intelligence and Systems, 2021 - iecscience.org
Energy is one of the most critical inputs in social and economic development, is an essential
factor in increasing living standards and creating sustainable development. Since energy is …

Analysis of the impact of clustering techniques and parameters on evolutionary-based hybrid models for forecasting electricity consumption

SO Oladipo, Y Sun, AO Amole - IEEE Access, 2023 - ieeexplore.ieee.org
Electricity is undeniably one of the most crucial building blocks of high-quality life all over the
world. Like many other African countries, Nigeria is still grappling with the challenge of the …

[HTML][HTML] A novel hybrid artificial intelligence approach to the future of global coal consumption using whale optimization algorithm and adaptive neuro-fuzzy inference …

M Jalaee, A GhasemiNejad, SA Jalaee, N Amani Zarin… - Energies, 2022 - mdpi.com
Energy has become an integral part of our society and global economic development in the
twenty-first century. Despite tremendous technological advancements, fossil fuels (coal …

Laboratory prediction energy control system based on artificial intelligence network

D Desmira, NA Bakar, MR Hashim… - Bulletin of Electrical …, 2022 - beei.org
The use of electrical energy increases globally every year. The laboratory prediction energy
control system (LPECS) predicted energy demand. This research was conducted in the …

Two-staged technique for determining ultimate tensile strength in MIG welding of mild steel

P Baloyi, SA Akinlabi, N Madushele, PA Adedeji… - Materials Today …, 2021 - Elsevier
Optimization of welding parameters is highly significant in welding process and intelligent
prediction of process parameters leverages data availability towards reducing cost of …