On the public citation graph
Forecasting thermal parameters for ultra‐high voltage transformers using long‐ and short‐term time‐series network with conditional mutual information
0 signed · 72 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/etep.2518openalex-snapshot
Adaptive algorithm for identifying OLTC position and its application on UHV voltage-regulating transformer differential protection
inferredcites →https://doi.org/10.1002/etep.559openalex-snapshot
Research and development of UHV AC transformer and shunt reactor
inferredcites →https://doi.org/10.1007/s10845-011-0533-5openalex-snapshot
Online monitoring and fault identification of mean shifts in bivariate processes using decision tree learning techniques
inferredcites →https://doi.org/10.1007/s11071-020-06111-6openalex-snapshot
Chaos cloud quantum bat hybrid optimization algorithm
inferredcites →https://doi.org/10.1016/j.apenergy.2020.114683openalex-snapshot
Building thermal load prediction through shallow machine learning and deep learning
inferredcites →https://doi.org/10.1016/j.applthermaleng.2017.07.167openalex-snapshot
Numerical and experimental validation of variation of power transformers’ thermal time constants with load factor
inferredcites →https://doi.org/10.1016/j.compag.2019.104964openalex-snapshot
Attention-based recurrent neural networks for accurate short-term and long-term dissolved oxygen prediction
inferredcites →https://doi.org/10.1016/j.egyr.2020.11.078openalex-snapshot
A short-term load forecasting model of multi-scale CNN-LSTM hybrid neural network considering the real-time electricity price
inferredcites →https://doi.org/10.1016/j.enconman.2018.04.021openalex-snapshot
Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network
inferredcites →https://doi.org/10.1016/j.epsr.2017.10.010openalex-snapshot
A novel model based on wavelet LS-SVM integrated improved PSO algorithm for forecasting of dissolved gas contents in power transformers
inferredcites →https://doi.org/10.1016/j.ijepes.2009.03.009openalex-snapshot
Prediction of hottest spot temperature in power transformer windings with non-directed and directed oil-forced cooling
inferredcites →https://doi.org/10.1016/j.jup.2021.101294openalex-snapshot
Forecasting short-term electricity load using hybrid support vector regression with grey catastrophe and random forest modeling
inferredcites →https://doi.org/10.1016/j.knosys.2021.107297openalex-snapshot
Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads
inferredcites →https://doi.org/10.1016/j.mlwa.2021.100064openalex-snapshot
Short-time multi-energy load forecasting method based on CNN-Seq2Seq model with attention mechanism
inferredcites →https://doi.org/10.1016/j.simpat.2008.02.013openalex-snapshot
Determination of OD cooling system parameters based on thermal modeling of power transformer winding
inferredcites →https://doi.org/10.1016/s0378-4754(99)00113-5openalex-snapshot
Performance evaluation and dynamic node generation criteria for ‘principal component analysis’ neural networks
inferredcites →https://doi.org/10.1049/hve.2018.0003openalex-snapshot
Research and application of UHV power transmission in China
inferredcites →https://doi.org/10.1049/iet-gtd.2018.6168openalex-snapshot
Condition assessment of power transformers based on dissolved gas analysis
inferredcites →https://doi.org/10.1103/physreve.69.066138openalex-snapshot
Estimating mutual information
inferredcites →https://doi.org/10.1109/4.881222openalex-snapshot
A parallel vector-quantization processor eliminating redundant calculations for real-time motion picture compression
inferredcites →https://doi.org/10.1109/access.2019.2924709openalex-snapshot
A Method for Hot Spot Temperature Prediction of a 10 kV Oil-Immersed Transformer
inferredcites →https://doi.org/10.1109/access.2019.2949580openalex-snapshot
A New Technique to Estimate the Degree of Polymerization of Insulation Paper Using Multiple Aging Parameters of Transformer Oil
inferredcites →https://doi.org/10.1109/access.2020.3021673openalex-snapshot
Hot-Spot Temperature Forecasting of the Instrument Transformer Using an Artificial Neural Network
inferredcites →https://doi.org/10.1109/access.2021.3060288openalex-snapshot
Enhancing Diagnostic Accuracy of Transformer Faults Using Teaching-Learning-Based Optimization
inferredcites →https://doi.org/10.1109/mcse.2018.2882357openalex-snapshot
Fault Prediction of a Transformer Bushing Based on Entropy Weight TOPSIS and Gray Theory
inferredcites →https://doi.org/10.1109/taslp.2015.2400218openalex-snapshot
From Feedforward to Recurrent LSTM Neural Networks for Language Modeling
inferredcites →https://doi.org/10.1109/tdei.2012.6215107openalex-snapshot
Hot spot temperature for 154 kV transformer filled with mineral oil and natural ester fluid
inferredcites →https://doi.org/10.1109/tdei.2016.7556526openalex-snapshot
Compensating the effect of temperature variation on dielectric response of oil-paper insulation used in power transformers
inferredcites →https://doi.org/10.1109/tdei.2017.006841openalex-snapshot
Application of SVM and KNN to Duval Pentagon 1 for transformer oil diagnosis
inferredcites →https://doi.org/10.1109/tdei.2020.008984openalex-snapshot
Dynamic Fault Prediction of Power Transformers Based on Lasso Regression and Change Point Detection by Dissolved Gas Analysis
inferredcites →https://doi.org/10.1109/tit.2020.3024886openalex-snapshot
Conditional Mutual Information Estimation for Mixed, Discrete and Continuous Data
inferredcites →https://doi.org/10.1109/tnnls.2019.2946414openalex-snapshot
Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction
inferredcites →https://doi.org/10.1109/tpwrd.2008.2005686openalex-snapshot
Improving Reliability Assessment of Transformer Thermal Top-Oil Model Parameters Estimated From Measured Data
inferredcites →https://doi.org/10.1109/tpwrd.2018.2881747openalex-snapshot
Combined Forecasting Method of Dissolved Gases Concentration and Its Application in Condition-Based Maintenance
inferredcites →https://doi.org/10.1109/tpwrs.2015.2438322openalex-snapshot
A Novel Wavelet-Based Ensemble Method for Short-Term Load Forecasting with Hybrid Neural Networks and Feature Selection
inferredcites →https://doi.org/10.1109/tste.2019.2940590openalex-snapshot
Learning Heterogeneous Features Jointly: A Deep End-to-End Framework for Multi-Step Short-Term Wind Power Prediction
inferredcites →https://doi.org/10.1162/153244303322753616openalex-snapshot
10.1162/153244303322753616
inferredcites →https://doi.org/10.1371/journal.pone.0194889openalex-snapshot
Statistical and Machine Learning forecasting methods: Concerns and ways forward
inferredcites →https://doi.org/10.3390/e18090330openalex-snapshot
Short Term Electrical Load Forecasting Using Mutual Information Based Feature Selection with Generalized Minimum-Redundancy and Maximum-Relevance Criteria
inferredcites →https://doi.org/10.3390/en11040914openalex-snapshot
Power Transformer Operating State Prediction Method Based on an LSTM Network
inferredcites →https://doi.org/10.3390/en13020422openalex-snapshot
Prediction Model for Dissolved Gas Concentration in Transformer Oil Based on Modified Grey Wolf Optimizer and LSSVM with Grey Relational Analysis and Empirical Mode Decomposition
inferredcites →https://doi.org/10.3390/en14030707openalex-snapshot
Power Forecasting of a Photovoltaic Plant Located in ENEA Casaccia Research Center
inferredcites →https://doi.org/10.3390/pr9040657openalex-snapshot
Accurate Insulating Oil Breakdown Voltage Model Associated with Different Barrier Effects
inferredcites →https://doi.org/10.3390/pr9050732openalex-snapshot
Photoluminescence Spectroscopy Measurements for Effective Condition Assessment of Transformer Insulating Oil
inferredcites →https://doi.org/10.3390/s20092730openalex-snapshot
Wavelet-Like Transform to Optimize the Order of an Autoregressive Neural Network Model to Predict the Dissolved Gas Concentration in Power Transformer Oil from Sensor Data
inferredcites →https://doi.org/10.3390/s21062223openalex-snapshot
Towards Precise Interpretation of Oil Transformers via Novel Combined Techniques Based on DGA and Partial Discharge Sensors
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4683747openalex-extracted
Fault Detection and Isolation for Multi-Type Sensors in Nuclear Power Plants Via a Knowledge-Guided Spatial-Temporal Model
inferred← citeshttps://doi.org/10.1002/tee.70024openalex-snapshot
Forecasting Dissolved Gas Concentration in Transformer Oil Using the AdaSTDM
inferred← citeshttps://doi.org/10.1007/s12204-023-2684-xopenalex-snapshot
Fault Identification Method for In-Core Self-Powered Neutron Detectors Combining Graph Convolutional Network and Stacking Ensemble Learning
inferred← citeshttps://doi.org/10.1007/s41365-023-01276-2openalex-snapshot
Twin model-based fault detection and tolerance approach for in-core self-powered neutron detectors
inferred← citeshttps://doi.org/10.1007/s41365-025-01643-1openalex-snapshot
Simulation-to-reality transferability framework for operating-parameter forecasting in nuclear reactors using domain adaptation
inferred← citeshttps://doi.org/10.1016/j.applthermaleng.2023.121558openalex-snapshot
A fast computational method for internal temperature field in Oil-Immersed power transformers
inferred← citeshttps://doi.org/10.1016/j.ijepes.2025.111170openalex-snapshot
A long-term and short-term prediction method for power transformer top oil temperature based on comprehensive thermal factor and CNN-LSTM-attention
inferred← citeshttps://doi.org/10.1016/j.jnca.2025.104265openalex-snapshot
NTP-INT: Network traffic prediction-driven in-band network telemetry for high-load switches
inferred← citeshttps://doi.org/10.1016/j.knosys.2024.112182openalex-snapshot
Fault detection and isolation for multi-type sensors in nuclear power plants via a knowledge-guided spatial–temporal model
inferred← citeshttps://doi.org/10.1016/j.pnucene.2025.105795openalex-snapshot
Forecasting in-core power distributions in nuclear power plants via a spatial–temporal hierarchical-directed network
inferred← citeshttps://doi.org/10.1016/j.talanta.2025.127573openalex-snapshot
Wavelength selection method for near-infrared spectroscopy based on the combination of mutual information and genetic algorithm
inferred← citeshttps://doi.org/10.1049/elp2.12382openalex-snapshot
High proportion and large value harmonic current influence on the magnetic field, loss and temperature distribution for ultrahigh voltage converter transformer
inferred← citeshttps://doi.org/10.1049/elp2.70026openalex-snapshot
A Fast Calculation Method of 3D Temperature Field of Oil‐Immersed Transformer Based on Point Cloud U‐Net++ Neural Network
inferred← citeshttps://doi.org/10.1049/gtd2.12649openalex-snapshot
A failure assessment method of island distribution lines based on model‐data hybrid drive
inferred← citeshttps://doi.org/10.1109/icsadl61749.2024.00124openalex-snapshot
Audio Detection and Fault Diagnosis of Ultra-High Voltage Transformers
inferred← citeshttps://doi.org/10.1109/iecon51785.2023.10311984openalex-snapshot
Anomaly Detection Method for Online Monitoring Data of Dissolved Gas in Transformer Using Stacking Ensemble Learning
inferred← citeshttps://doi.org/10.1109/mlbdbi67855.2025.11331336openalex-snapshot
Research on the Standardization of Electric Power Texts Based on Multitask-Bert and Knowledge Graphs
inferred← citeshttps://doi.org/10.1109/tim.2025.3545728openalex-snapshot
Fault Detection for Ex-Core Neutron Detectors in Nuclear Power Plants Using Global-Fused Dynamic Detection Model
inferred← citeshttps://doi.org/10.1155/2023/7745650openalex-snapshot
Short‐Term Wind and Solar Power Prediction Based on Feature Selection and Improved Long‐ and Short‐Term Time‐Series Networks
inferred← citeshttps://doi.org/10.2139/ssrn.4855390openalex-snapshot
An Intrusion Detection Method for Steel Mills Based on Improved Co-Teaching with Prior Knowledge
inferred← citeshttps://doi.org/10.3233/jae-230022openalex-snapshot
Forecasting top oil temperature for UHV reactor using Seq2Seq model with convolutional block attention mechanism
inferred← citeshttps://doi.org/10.3390/machines13020125openalex-snapshot
Power Transformer Prognostics and Health Management Using Machine Learning: A Review and Future Directions
inferred← citeshttps://doi.org/10.3390/s24113551openalex-snapshot
Swing Trend Prediction of Main Guide Bearing in Hydropower Units Based on MFS-DCGNN
inferred← citeshttps://doi.org/10.3390/s24144734openalex-snapshot
Inversion Method for Transformer Winding Hot Spot Temperature Based on Gated Recurrent Unit and Self-Attention and Temperature Lag
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.