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Neuro-fuzzy resource forecast in site suitability assessment for wind and solar energy: A mini review
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 …
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
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 …
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
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 …
(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
Future energy planning relies on understanding how much energy is produced and
consumed. In response, this study developed a multihybrid adaptive neuro‐fuzzy inference …
consumed. In response, this study developed a multihybrid adaptive neuro‐fuzzy inference …
[HTML][HTML] Performance evaluation of the impact of clustering methods and parameters on adaptive neuro-fuzzy inference system models for electricity consumption …
Increasing economic and population growth has led to a rise in electricity consumption.
Consequently, electrical utility firms must have a proper energy management strategy in …
Consequently, electrical utility firms must have a proper energy management strategy in …
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 …
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
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 …
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 …
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 …
twenty-first century. Despite tremendous technological advancements, fossil fuels (coal …
Laboratory prediction energy control system based on artificial intelligence network
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 …
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
Optimization of welding parameters is highly significant in welding process and intelligent
prediction of process parameters leverages data availability towards reducing cost of …
prediction of process parameters leverages data availability towards reducing cost of …