A new hybrid model using step-wise weight assessment ratio analysis (SWARA) technique and adaptive neuro-fuzzy inference system (ANFIS) for regional landslide …
In recent years, Iran has experienced many landslides due to high tectonic activity, and a
variety of geological and climatic conditions. This paper proposes a novel hybrid model …
variety of geological and climatic conditions. This paper proposes a novel hybrid model …
Pesticide decontamination using UV/ferrous-activated persulfate with the aid neuro-fuzzy modeling: a case study of Malathion
Y Vasseghian, M Moradi, M Pirsaheb, A Khataee… - Food Research …, 2020 - Elsevier
In the current study, the Malathion decontamination by the aid of the UV/ferrous-activated
persulfate (PS) was investigated and the effects of pH, persulfate (PS) concentration, ferrous …
persulfate (PS) was investigated and the effects of pH, persulfate (PS) concentration, ferrous …
Robust decentralized load frequency control of interconnected power system with generation rate constraint using type-2 fuzzy approach
The Load Frequency Control (LFC) problem has been a major subject in electrical power
system design/operation. LFC is becoming more significant recently with increasing size …
system design/operation. LFC is becoming more significant recently with increasing size …
Electricity demand estimation using an adaptive neuro-fuzzy network: a case study from the Ontario province–Canada
Electricity is an important asset that influences not only the economy, but political or social
security of a country. Reliable and accurate planning and prediction of electricity demand for …
security of a country. Reliable and accurate planning and prediction of electricity demand for …
Load frequency control of an interconnected reheat thermal system using type-2 fuzzy system including SMES units
The transient behavior of many large scale systems is heavily influenced by perturbations
and in particular, usually, due to changes in operating points. Load Frequency Control (LFC) …
and in particular, usually, due to changes in operating points. Load Frequency Control (LFC) …
[HTML][HTML] LFC based adaptive PID controller using ANN and ANFIS techniques
MI Mosaad, F Salem - Journal of Electrical Systems and Information …, 2014 - Elsevier
This paper presents an adaptive PID Load Frequency Control (LFC) for power systems
using Neuro-Fuzzy Inference Systems (ANFIS) and Artificial Neural Networks (ANN) …
using Neuro-Fuzzy Inference Systems (ANFIS) and Artificial Neural Networks (ANN) …
Two-Area Power System Load Frequency Regulation Using ANFIS and Genetic Algorithm
In this paper, we look at a two-area electrical system and how a PID controller may be used
to regulate the load rate. In this study, we improve the settings of PID using a genetic …
to regulate the load rate. In this study, we improve the settings of PID using a genetic …
Fuzzy C-Means clustering for robust decentralized load frequency control of interconnected power system with Generation Rate Constraint
Load–frequency control (LFC) is important in electric power system design and operation
moreover, to ensure the quality of the power supply. Literature shows that Fuzzy logic …
moreover, to ensure the quality of the power supply. Literature shows that Fuzzy logic …
[PDF][PDF] Automatic generation control of interconnected power system with generation rate constraints by hybrid neuro fuzzy approach
The design of Automatic Generation Control (AGC) system plays a vital role in automation of
power system. This paper proposes Hybrid Neuro Fuzzy (HNF) approach for AGC of two …
power system. This paper proposes Hybrid Neuro Fuzzy (HNF) approach for AGC of two …
Interrelated solar and thermal plant autonomous generation control utilizing metaheuristic optimization
In this study, the load frequency control of a two-area thermal generation system based on
renewable energy sources is considered. When solar generation is used in one of the …
renewable energy sources is considered. When solar generation is used in one of the …