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Hybrid neurofuzzy wind power forecast and wind turbine location for embedded generation

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/er.3171openalex-snapshot
Forecasting aggregated wind power production of multiple wind farms using hybrid wavelet-PSO-NNs
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Adaptive Neuro-Fuzzy Interference System
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An Adaptive Learning Radial Basis Function Neural Network for Online Time Series Forecasting
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GA-Fuzzy Approaches: Application to Modeling of Manufacturing Process
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Nonlinear Modeling of Switched Reluctance Motor Based on GA-BPNN
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Facility Location: Models, Methods and Applications
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Comparison of fuzzy AHP and fuzzy TOPSIS methods for facility location selection
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Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey
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Location of Service Facilities for the Elderly
inferredcites →https://doi.org/10.1007/s12155-019-10009-6openalex-snapshot
Estimation of the Elemental Composition of Biomass Using Hybrid Adaptive Neuro-Fuzzy Inference System
inferredcites →https://doi.org/10.1016/b978-0-12-385085-0.00010-5openalex-snapshot
Model-Based Optimization Techniques
inferredcites →https://doi.org/10.1016/b978-0-12-815010-8.00002-8openalex-snapshot
Integrated energy management for electrified vehicles
inferredcites →https://doi.org/10.1016/j.apenergy.2018.01.035openalex-snapshot
Performance evaluation of hybrid adaptive neuro-fuzzy inference system models for predicting monthly global solar radiation
inferredcites →https://doi.org/10.1016/j.apenergy.2018.05.043openalex-snapshot
Time-series prediction of wind speed using machine learning algorithms: A case study Osorio wind farm, Brazil
inferredcites →https://doi.org/10.1016/j.asoc.2011.05.026openalex-snapshot
Facility location via fuzzy modeling and simulation
inferredcites →https://doi.org/10.1016/j.catena.2017.05.034openalex-snapshot
Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modelling
inferredcites →https://doi.org/10.1016/j.ejor.2006.11.029openalex-snapshot
Fuzzy facility location-allocation problem under the Hurwicz criterion
inferredcites →https://doi.org/10.1016/j.ejor.2017.10.019openalex-snapshot
Multi-level facility location problems
inferredcites →https://doi.org/10.1016/j.ejor.2020.01.047openalex-snapshot
Single facility siting involving allocation decisions
inferredcites →https://doi.org/10.1016/j.energy.2015.01.059openalex-snapshot
Aggregation and internalisation of electricity externalities in South Africa
inferredcites →https://doi.org/10.1016/j.erss.2018.10.008openalex-snapshot
Sustained uptake of clean cooking practices in poor communities: Role of social networks
inferredcites →https://doi.org/10.1016/j.eswa.2011.04.143openalex-snapshot
Review of the main developments in the analytic hierarchy process
inferredcites →https://doi.org/10.1016/j.ijdrr.2016.01.002openalex-snapshot
Evaluation and comparison of Genetic Algorithm and Bees Algorithm for location–allocation of earthquake relief centers
inferredcites →https://doi.org/10.1016/j.ijhydene.2017.04.044openalex-snapshot
H2-selective mixed matrix membranes modeling using ANFIS, PSO-ANFIS, GA-ANFIS
inferredcites →https://doi.org/10.1016/j.jclepro.2020.120135openalex-snapshot
Wind turbine power output very short-term forecast: A comparative study of data clustering techniques in a PSO-ANFIS model
inferredcites →https://doi.org/10.1016/j.knosys.2018.04.014openalex-snapshot
Recent advances in neuro-fuzzy system: A survey
inferredcites →https://doi.org/10.1016/j.promfg.2019.05.003openalex-snapshot
Powering the future university campuses: a mini-review of feasible sources
inferredcites →https://doi.org/10.1016/j.renene.2010.09.001openalex-snapshot
Wind shear coefficients, roughness length and energy yield over coastal locations in Southern Italy
inferredcites →https://doi.org/10.1016/j.renene.2018.09.035openalex-snapshot
GIS based site suitability assessment for wind and solar farms in Songkhla, Thailand
inferredcites →https://doi.org/10.1016/j.rser.2017.06.055openalex-snapshot
A review of renewable energy development in Africa: A focus in South Africa, Egypt and Nigeria
inferredcites →https://doi.org/10.1016/j.rser.2017.09.031openalex-snapshot
Wind energy characteristics and wind park installation in Shark El-Ouinat, Egypt
inferredcites →https://doi.org/10.1021/es204706mopenalex-snapshot
Evaluation of Global Onshore Wind Energy Potential and Generation Costs
inferredcites →https://doi.org/10.1073/pnas.0904101106openalex-snapshot
Global potential for wind-generated electricity
inferredcites →https://doi.org/10.1080/01430750.2020.1719885openalex-snapshot
Hybrid adaptive neuro-fuzzy inference system (ANFIS) for a multi-campus university energy consumption forecast
inferredcites →https://doi.org/10.1109/21.256541openalex-snapshot
ANFIS: adaptive-network-based fuzzy inference system
inferredcites →https://doi.org/10.1109/greentech.2017.56openalex-snapshot
A Double-Stage Hierarchical Hybrid PSO-ANFIS Model for Short-Term Wind Power Forecasting
inferredcites →https://doi.org/10.1109/icccbda.2017.7951965openalex-snapshot
Short-term wind power forecasting using a double-stage hierarchical hybrid GA-ANFIS approach
inferredcites →https://doi.org/10.1109/tpwrs.2006.873421openalex-snapshot
Very Short-Term Wind Forecasting for Tasmanian Power Generation
inferredcites →https://doi.org/10.1115/power2019-1826openalex-snapshot
Evolution Algorithms and Biomass Properties Prediction: A Review
inferredcites →https://doi.org/10.1201/9780429293030-7openalex-snapshot
Adaptive Neuro-fuzzy Inference System (ANFIS) Modelling in Energy System and Water Resources
inferredcites →https://doi.org/10.13033/ijahp.v10i3.590openalex-snapshot
Implementation of an Online Software Tool for the Analytic Hierarchy Process (AHP-OS)
inferredcites →https://doi.org/10.1371/journal.pone.0193772openalex-snapshot
Application of the hybrid ANFIS models for long term wind power density prediction with extrapolation capability
inferredcites →https://doi.org/10.1504/ijsom.2015.071531openalex-snapshot
Plant location selection of a manufacturing industry using analytic hierarchy process approach
inferredcites →https://doi.org/10.4018/978-1-59904-849-9openalex-snapshot
Encyclopedia of Artificial Intelligence
inferredcites →https://doi.org/10.4108/eai.11-6-2019.159119openalex-snapshot
Estimation of Municipal Solid Waste (MSW) combustion enthalpy for energy recovery
inferredcites →https://doi.org/10.4108/eai.13-7-2018.161751openalex-snapshot
Towards low-carbon energy state in South Africa: a survey of energy availability and sustainability

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1007/s00521-021-06001-xopenalex-snapshot
Hybrid neurofuzzy investigation of short-term variability of wind resource in site suitability analysis: a case study in South Africa
inferred← citeshttps://doi.org/10.1007/s11356-022-24595-0openalex-snapshot
GIS-based weighted overlay model for wind and solar farm locating in Sri Lanka
inferred← citeshttps://doi.org/10.1007/s12652-021-03639-2openalex-snapshot
Evolutionary-based neurofuzzy model with wavelet decomposition for global horizontal irradiance medium-term prediction
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inferred← citeshttps://doi.org/10.1016/j.ref.2021.07.008openalex-snapshot
Beyond site suitability: Investigating temporal variability for utility-scale solar-PV using soft computing techniques
inferred← citeshttps://doi.org/10.1016/j.seta.2021.101248openalex-snapshot
A new ANN model for hourly solar radiation and wind speed prediction: A case study over the north & south of the Arabian Peninsula
inferred← citeshttps://doi.org/10.1080/09507116.2025.2590553openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/15230406.2025.2464661openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/eee-am66675.2025.11473456openalex-snapshot
Forecasting Wind Power Using Random Forest and Deep Stacked LSTM Networks
inferred← citeshttps://doi.org/10.1109/iceca58529.2023.10395587openalex-snapshot
Hybrid Deep Learning Technique for Optimal Wind Mill Speed Estimation
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Research on a Differentiated Task Scheduling Model for Embedded Operating Systems in the Energy Industry
inferred← citeshttps://doi.org/10.1109/icmimt52186.2021.9476200openalex-snapshot
Evolutionary-based Hyperparameter Tuning in Machine Learning Models for Condition Monitoring in Wind Turbines – A Survey
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Dynamic Modelling of Maximum Stress in a Faulty Wind Turbine Sun Gear: An FEM Approach
inferred← citeshttps://doi.org/10.1109/pset59452.2023.10346407openalex-snapshot
Time-Varying Meshing Stiffness Investigation of Faulty Wind Turbine Sun Gear Under Dynamic Conditions
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Optimal Placement of Hybrid Wind-Solar System Using Deep Learning Model
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The Forecast of the Wind Turbine Generated Power Using Hybrid (LTC + XGBoost) Model
inferred← citeshttps://doi.org/10.3390/coatings13030496openalex-snapshot
An Overview of Technological Parameter Optimization in the Case of Laser Cladding
inferred← citeshttps://doi.org/10.3390/en14206824openalex-snapshot
A Bibliometric Review on Decision Approaches for Clean Energy Systems under Uncertainty
inferred← citeshttps://doi.org/10.3390/en15186545openalex-snapshot
State-of-the-Art Using Bibliometric Analysis of Wind-Speed and -Power Forecasting Methods Applied in Power Systems
inferred← citeshttps://doi.org/10.3390/en15239146openalex-snapshot
Machine Learning Approaches to Predict Electricity Production from Renewable Energy Sources
inferred← citeshttps://doi.org/10.35595/2414-9179-2024-1-30-179-192openalex-snapshot
Suitability assessment of wind energy farming in the desert landscape of Zarafshan Valley, Uzbekistan
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