Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:38:11.377759Z
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2506.06285.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:38:11.377759Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
67 of 67 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d028194a-a7cd-4090-bb11-591399a2c5b4 · outbound
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Review of deep learning algorithms and architectures
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Recent advances in deep learning
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Observation 3f56a6d9-6305-4f93-9971-38da983ea579 · outbound
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Explainable AI : From black box to glass box
Reference 3
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Observation cfa6e07e-d31d-4ff5-98d3-4841c789aae8 · outbound
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Application of fuzzy algorithms for control of simple dynamic plant
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Fuzzy identification of systems and its applications to modeling and control
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Observation a96c7e2c-047b-43d3-850a-0a18b3a74575 · outbound
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Structure identification of fuzzy model
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Fuzzy logic for business, finance, and management, volume 23
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Fuzzy systems in medicine, volume 41
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A survey on industrial applications of fuzzy control
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Chemistry can make strict and fuzzy controls for bio-systems: DNA nanoarchitectonics and cell-macromolecular nanoarchitectonics
Reference 10
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Observation c23f1f4c-a69c-4c7f-aeef-b7e891813ddc · outbound
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Face recognition with an improved interval type-2 fuzzy logic S ugeno integral and modular neural networks
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Observation ad0ba1d5-8d60-41f9-9d91-d0dfe47a0b5b · outbound
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Adaptive fault detection and diagnosis using an evolving fuzzy classifier
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Observation cc0bc3bb-b7df-4c2d-b989-e91873f93274 · outbound
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A new T akagi-- S ugeno-- K ang model for time series forecasting
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Observation fd60ff58-8be2-498e-994a-4220d023e00f · outbound
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Financial S eries F orecasting: A N ew F uzzy I nference S ystem for C risp V alues and I nterval- V alued P redictions
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Observation 410bb2c2-6395-46d9-b2b1-4eb880bb5822 · outbound
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A comprehensive review of dimensionality reduction techniques for feature selection and feature extraction
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A novel feature-selection approach based on the cuttlefish optimization algorithm for intrusion detection systems
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A wrapper feature subset selection method based on randomized search and multilayer structure
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Genetic algorithms in the fields of artificial intelligence and data sciences
Reference 18
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Enriched ant colony optimization and its application in feature selection
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting An introduction to variable and feature selection
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Hybrid feature selection by combining filters and wrappers
Reference 21
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Ensembles for feature selection: A review and future trends
Reference 22
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A survey on ensemble learning
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Trends and gaps in photovoltaic power forecasting with machine learning
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Intermittent and stochastic character of renewable energy sources: C onsequences, cost of intermittence and benefit of forecasting
Reference 25
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Extensive comparison of physical models for photovoltaic power forecasting
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Photovoltaic and solar power forecasting for smart grid energy management
Reference 27
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Observation 95777348-3e4c-42d4-8929-21ce4785c82e · outbound
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Very short-term photovoltaic power forecasting with cloud modeling: A review
Reference 28
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Forecasting of photovoltaic power generation and model optimization: A review
Reference 29
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting CT-NET : A N ovel C onvolutional T ransformer- B ased N etwork for S hort- T erm S olar E nergy F orecasting U sing C limatic I nformation
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Investigating the P ower of LSTM-B ased M odels in S olar E nergy F orecasting
Reference 31
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Machine learning based photovoltaics ( PV ) power prediction using different environmental parameters of Q atar
Reference 32
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Feature selection and ANN solar power prediction
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Solar power forecasting beneath diverse weather conditions using GD and LM -artificial neural networks
Reference 34
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A weather-based hybrid method for 1-day ahead hourly forecasting of PV power output
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting PV forecasting using support vector machine learning in a big data analytics context
Reference 36
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Forecasting the daily power output of a grid-connected photovoltaic system based on multivariate adaptive regression splines
Reference 37
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Short-term photovoltaic solar power forecasting using a hybrid W avelet- PSO-SVM model based on SCADA and meteorological information
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Short-term PV power forecasting using hybrid GASVM technique
Reference 39
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting T akagi-- S ugeno fuzzy model-based approach considering multiple weather factors for the photovoltaic power short-term forecasting
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A novel ultra-short-term PV power forecasting method based on DBN -based T akagi- S ugeno fuzzy model
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A novel soft computing framework for solar radiation forecasting
Reference 42
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Direct normal irradiance forecasting and its application to concentrated solar thermal output forecasting-- A review
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Designing programmable current-mode G aussian and bell-shaped membership function
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting An analysis of variance test for normality (complete samples)
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Likelihood ratio statistics for autoregressive time series with a unit root
Reference 46
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Discriminatory analysis, nonparametric discrimination
Reference 47
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Classification and regression trees ( W adsworth, B elmont, CA )
Reference 48
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Random decision forests
Reference 49
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Support-vector networks
Reference 50
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Least squares support vector machine classifiers
Reference 51
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Greedy function approximation: a gradient boosting machine
Reference 52
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting XGB oost: A scalable tree boosting system
Reference 53
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Light GBM : A highly efficient gradient boosting decision tree
Reference 54
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting The perceptron: a probabilistic model for information storage and organization in the brain
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
Reference 56
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Neural networks and physical systems with emergent collective computational abilities
Reference 57
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Long short-term memory
Reference 58
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Reference 59
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting WaveNet: A Generative Model for Raw Audio
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Reference 61
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Visualizing Orbital Content of Electronic Bands in Anisotropic 2D Semiconducting ReSe$_{2}$
Reference 62
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Reference 63
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Reference 64
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting Multivariable G aussian evolving fuzzy modeling system
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Observation 36e728db-f003-4b12-b0b2-622b9946a3e9 · outbound
NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting An enhanced approach for evolving participatory learning fuzzy modeling
Reference 66
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NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting A novel rule-based evolving fuzzy system applied to the thermal modeling of power transformers
Reference 67
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