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Deep learning‐based SCUC decision‐making: An intelligent data‐driven approach with self‐learning capabilities

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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/tee.22633openalex-snapshot
Combined heat and power scheduling: Utilizing building‐level thermal inertia for short‐term thermal energy storage in district heat system
inferredcites →https://doi.org/10.1002/tee.23265openalex-snapshot
An Improved Robust SCUC Approach Considering Multiple Uncertainty and Correlation
inferredcites →https://doi.org/10.1007/978-3-030-19212-9_18openalex-snapshot
Learning MILP Resolution Outcomes Before Reaching Time-Limit
inferredcites →https://doi.org/10.1007/s10479-018-3067-9openalex-snapshot
Random sampling and machine learning to understand good decompositions
inferredcites →https://doi.org/10.1007/s12667-010-0015-4openalex-snapshot
Accelerating the Benders decomposition for network-constrained unit commitment problems
inferredcites →https://doi.org/10.1016/j.artint.2016.01.005openalex-snapshot
Empirical decision model learning
inferredcites →https://doi.org/10.1016/j.enconman.2018.11.074openalex-snapshot
Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting
inferredcites →https://doi.org/10.1016/j.ijepes.2019.105806openalex-snapshot
An improved digital integral algorithm to enhance the measurement accuracy of Rogowski coil-based electronic transformers
inferredcites →https://doi.org/10.1016/j.renene.2018.12.035openalex-snapshot
Smart wind speed forecasting approach using various boosting algorithms, big multi-step forecasting strategy
inferredcites →https://doi.org/10.1049/iet-gtd.2008.0573openalex-snapshot
Interior point methods application in optimum operational scheduling of electric power systems
inferredcites →https://doi.org/10.1049/iet-gtd.2014.0718openalex-snapshot
Reliable/cost‐effective maintenance schedules for a composite power system using fuzzy supported teaching learning algorithm
inferredcites →https://doi.org/10.1049/iet-gtd.2017.1845openalex-snapshot
Research on modelling and solution of stochastic SCUC under AC power flow constraints
inferredcites →https://doi.org/10.1049/iet-rpg.2015.0034openalex-snapshot
Multi‐objective unit commitment with renewable energy using hybrid approach
inferredcites →https://doi.org/10.1049/iet-smt.2013.0044openalex-snapshot
Profit‐based unit commitment with security constraints and fair allocation of cost saving in industrial microgrids
inferredcites →https://doi.org/10.1049/ip-gtd:20000303openalex-snapshot
Thermal generating unit commitment using an extended mean field annealing neural network
inferredcites →https://doi.org/10.1109/access.2019.2895625openalex-snapshot
Two-Stage Robust Security Constrained Unit Commitment Considering the Spatiotemporal Correlation of Uncertainty Prediction Error
inferredcites →https://doi.org/10.1109/access.2020.2991181openalex-snapshot
Multi-Lateral Participants Decision-Making: A Distribution System Planning Approach With Incomplete Information Game
inferredcites →https://doi.org/10.1109/icbda.2016.7509811openalex-snapshot
A multilevel deep learning method for big data analysis and emergency management of power system
inferredcites →https://doi.org/10.1109/jsyst.2014.2363156openalex-snapshot
Potential- $K$- Means for Load Balancing and Cost Minimization in Mobile Recycling Network
inferredcites →https://doi.org/10.1109/jsyst.2021.3074296openalex-snapshot
Unintentional Islanding Transition Control Strategy for Three-/Single-Phase Multimicrogrids Based on Artificial Emotional Reinforcement Learning
inferredcites →https://doi.org/10.1109/ptc.2019.8810906openalex-snapshot
Deep Learning for Power System Security Assessment
inferredcites →https://doi.org/10.1109/tec.2018.2876303openalex-snapshot
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inferredcites →https://doi.org/10.1109/tie.2019.2903749openalex-snapshot
Coordinated Control of Passive Transition from Grid-Connected to Islanded Operation for Three/Single-Phase Hybrid Multimicrogrids Considering Speed and Smoothness
inferredcites →https://doi.org/10.1109/tii.2020.2971227openalex-snapshot
Optimal Stochastic Deployment of Heterogeneous Energy Storage in a Residential Multienergy Microgrid With Demand-Side Management
inferredcites →https://doi.org/10.1109/tmech.2020.3000732openalex-snapshot
Gaussian Mixture Model Clustering-Based Knock Threshold Learning in Automotive Engines
inferredcites →https://doi.org/10.1109/tpel.2019.2934726openalex-snapshot
Coat Circuits for DC–DC Converters to Improve Voltage Conversion Ratio
inferredcites →https://doi.org/10.1109/tpel.2021.3078533openalex-snapshot
A Family of Dual-Boost Bridgeless Five-Level Rectifiers With Common-Core Inductors
inferredcites →https://doi.org/10.1109/tpwrs.2002.807080openalex-snapshot
A hybrid LR-EP for solving new profit-based UC problem under competitive environment
inferredcites →https://doi.org/10.1109/tpwrs.2007.894843openalex-snapshot
Stochastic Security-Constrained Unit Commitment
inferredcites →https://doi.org/10.1109/tpwrs.2010.2042472openalex-snapshot
A New Quantum-Inspired Binary PSO: Application to Unit Commitment Problems for Power Systems
inferredcites →https://doi.org/10.1109/tpwrs.2011.2164947openalex-snapshot
Comparison of Scenario-Based and Interval Optimization Approaches to Stochastic SCUC
inferredcites →https://doi.org/10.1109/tpwrs.2013.2241795openalex-snapshot
A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment
inferredcites →https://doi.org/10.1109/tpwrs.2014.2308637openalex-snapshot
On the Robust Solution to SCUC With Load and Wind Uncertainty Correlations
inferredcites →https://doi.org/10.1109/tpwrs.2015.2450776openalex-snapshot
Improving Accuracy and Efficiency of Start-Up Cost Formulations in MIP Unit Commitment by Modeling Power Plant Temperatures
inferredcites →https://doi.org/10.1109/tpwrs.2015.2463725openalex-snapshot
Two-Stage Multi-Objective Unit Commitment Optimization Under Hybrid Uncertainties
inferredcites →https://doi.org/10.1109/tpwrs.2016.2521882openalex-snapshot
Frequency Dynamics Constrained Unit Commitment With Battery Energy Storage
inferredcites →https://doi.org/10.1109/tpwrs.2016.2525009openalex-snapshot
A Multi-Band Uncertainty Set Based Robust SCUC With Spatial and Temporal Budget Constraints
inferredcites →https://doi.org/10.1109/tpwrs.2017.2699484openalex-snapshot
A Dynamic Regrouping Based Dynamic Programming Approach for Unit Commitment of the Transmission-Constrained Multi-Site Combined Heat and Power System
inferredcites →https://doi.org/10.1109/tpwrs.2018.2834940openalex-snapshot
Control of Energy-Intensive Load for Power Smoothing in Wind Power Plants
inferredcites →https://doi.org/10.1109/tpwrs.2019.2892620openalex-snapshot
Transmission Constraint Filtering in Large-Scale Security-Constrained Unit Commitment
inferredcites →https://doi.org/10.1109/tsg.2016.2564645openalex-snapshot
Optimal Operation for Community-Based Multi-Party Microgrid in Grid-Connected and Islanded Modes
inferredcites →https://doi.org/10.1109/tsg.2020.2991335openalex-snapshot
An Integrated Scheme for Online Dynamic Security Assessment Based on Partial Mutual Information and Iterated Random Forest
inferredcites →https://doi.org/10.1109/tste.2013.2289853openalex-snapshot
Stochastic SCUC Solution With Variable Wind Energy Using Constrained Ordinal Optimization
inferredcites →https://doi.org/10.1109/tste.2016.2615104openalex-snapshot
Robust Co-Optimization Scheduling of Electricity and Natural Gas Systems via ADMM
inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot
Long Short-Term Memory
inferredcites →https://doi.org/10.1186/s41601-020-00179-3openalex-snapshot
The legal sustainability of energy substitution in Nigeria’s electric power sector: renewable energy as alternative
inferredcites →https://doi.org/10.1186/s41601-021-00188-wopenalex-snapshot
Single and multi-area multi-fuel economic dispatch using a fuzzified squirrel search algorithm
inferredcites →https://doi.org/10.1287/ijoc.2020.0976openalex-snapshot
Learning to Solve Large-Scale Security-Constrained Unit Commitment Problems
inferredcites →https://doi.org/10.1609/aaai.v30i1.10080openalex-snapshot
Learning to Branch in Mixed Integer Programming
inferredcites →https://doi.org/10.17775/cseejpes.2016.00009openalex-snapshot
A chance-constrained wind range quantification approach to robust scuc by determining dynamic uncertainty intervals
inferredcites →https://doi.org/10.3390/en12071356openalex-snapshot
Adaptive Nonparametric Kernel Density Estimation Approach for Joint Probability Density Function Modeling of Multiple Wind Farms
inferredcites →https://doi.org/10.3390/en12234498openalex-snapshot
An Improved Constrained Order Optimization Algorithm for Uncertain SCUC Problem Solving

What points at this work

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

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A Topology-Guided Learning Framework for Security-Constraint Unit Commitment
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The Use of Artificial Intelligence for the Unit Commitment Problem: State of the Art
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Graph neural networks for power grid operational risk assessment under evolving unit commitment
inferred← citeshttps://doi.org/10.1016/j.energy.2025.136223openalex-snapshot
Using machine learning to achieve highly efficient solutions of frequency-constrained unit commitment models
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inferred← citeshttps://doi.org/10.1109/eem68581.2026.11589730openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icips59254.2023.10404950openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icnepe60694.2023.10429341openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icpics66386.2025.11347404openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tii.2025.3558319openalex-snapshot
Predicting Power Dispatch for Unit Commitment Problems Using Graph-Temporal Convolutional Networks With Constrained Learning
inferred← citeshttps://doi.org/10.1109/tpwrs.2023.3240106openalex-snapshot
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inferred← citeshttps://doi.org/10.21681/2311-3456-2024-2-22-28openalex-snapshot
THE ORGANIZATION OF SEPARATE SECURITY EVENT DATA STORAGE
inferred← citeshttps://doi.org/10.23919/pcmp.2023.000286openalex-snapshot
Data-Driven Decision-Making for SCUC: An Improved Deep Learning Approach Based on Sample Coding and Seq2Seq Technique
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