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Overhead lines Dynamic Line rating based on probabilistic day-ahead forecasting and risk assessment
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Transmission and Distribution Electrical Engineering
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Estimation method for dynamic line rating potential and economic benefits
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Forecasting for dynamic line rating
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Stochastic downscaling of precipitation with neural network conditional mixture models
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Forecasting real-time ratings for electricity distribution networks using weather forecast data
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Dynamic line rating day-ahead forecasts - cost benefit based selection of the optimal quantile
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Critical span identification model for dynamic thermal rating system placement
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Experimentally validated partial least squares model for dynamic line rating
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Increasing thermal rating by risk analysis
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Critical span analysis of overhead conductors
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Weather-dependent versus static thermal line ratings (power overhead lines)
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Effect of elevated temperature operation on the tensile strength of overhead conductors
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Dynamic line rating in the operating environment
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Prospects of Using the Dynamic Thermal Rating System for Reliable Electrical Networks: A Review
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Overhead line rating forecasting for the integration of wind power in electricity markets
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2012 IEEE Power and Energy Society General Meeting
inferredcites →https://doi.org/10.1109/peam.2011.6134969openalex-snapshot
Risk assessment of transmission dynamic line rating based on Monte Carlo
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Assessment of seasonal static thermal ratings of overhead transmission conductors
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Modelling and prediction techniques for dynamic overhead line rating
inferredcites →https://doi.org/10.1109/pesmg.2013.6672679openalex-snapshot
Probabilistic N−1 security assessment incorporating dynamic line ratings
inferredcites →https://doi.org/10.1109/pmaps.2006.360329openalex-snapshot
Prediction of Dynamic Line Rating Based on Assessment Risk by Time Series Weather Model
inferredcites →https://doi.org/10.1109/tpas.1979.319273openalex-snapshot
The Loss of Tensile Strength of Hard-Drawn Conductors by Annealing in Servicec
inferredcites →https://doi.org/10.1109/tpwrd.2002.804015openalex-snapshot
A new method for real-time monitoring of high-voltage transmission-line conductor sag
inferredcites →https://doi.org/10.1109/tpwrd.2012.2185254openalex-snapshot
Identification of Critical Spans for Monitoring Systems in Dynamic Thermal Rating
inferredcites →https://doi.org/10.1109/tpwrd.2016.2543818openalex-snapshot
Dynamic Line Rating Using Numerical Weather Predictions and Machine Learning: A Case Study
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Probabilistic Real-Time Thermal Rating Forecasting for Overhead Lines by Conditionally Heteroscedastic Auto-Regressive Models
inferredcites →https://doi.org/10.1109/tpwrs.2014.2305872openalex-snapshot
Investigating the Impact of Real-Time Thermal Ratings on Power Network Reliability
inferredcites →https://doi.org/10.1109/tpwrs.2016.2596285openalex-snapshot
Time Series Modeling for Dynamic Thermal Rating of Overhead Lines
inferredcites →https://doi.org/10.1109/tsg.2014.2341353openalex-snapshot
Impact From Dynamic Line Rating on Wind Power Integration
inferredcites →https://doi.org/10.1201/9781315222424-15openalex-snapshot
Sag and Tension of Conductor
inferredcites →https://doi.org/10.2307/2291242openalex-snapshot
Multivariate Density Estimation: Theory, Practice, and Visualization.
inferredcites →https://doi.org/10.2307/2532811openalex-snapshot
Multivariate Density Estimation: Theory, Practice, and Visualization.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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