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Adaptive Real-Time Scheduling of Cyber-Physical Energy Systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.conengprac.2013.10.005openalex-snapshot
Electric vehicles charging control in a smart grid: A model predictive control approach
inferredcites →https://doi.org/10.1016/j.enbuild.2014.02.013openalex-snapshot
Peak shaving through real-time scheduling of household appliances
inferredcites →https://doi.org/10.1016/j.epsr.2009.08.009openalex-snapshot
Fuzzy logic-based direct load control of air conditioning loads considering nodal reliability characteristics in restructured power systems
inferredcites →https://doi.org/10.1016/j.epsr.2014.04.012openalex-snapshot
Optimal scheduling of household appliances for demand response
inferredcites →https://doi.org/10.1016/j.scs.2013.11.001openalex-snapshot
Demand side management in smart grid: A review and proposals for future direction
inferredcites →https://doi.org/10.1016/j.scs.2015.05.002openalex-snapshot
Electric load management approaches for peak load reduction: A systematic literature review and state of the art
inferredcites →https://doi.org/10.1017/cbo9780511807930openalex-snapshot
Handbook of Hybrid Systems Control
inferredcites →https://doi.org/10.1023/b:joco.0000038915.62826.79openalex-snapshot
Models and Bounds for Two-Dimensional Level Packing Problems
inferredcites →https://doi.org/10.1049/ip-smt:19951929openalex-snapshot
Optimal battery energy storage system (BESS) charge scheduling with dynamic programming
inferredcites →https://doi.org/10.1109/59.192913openalex-snapshot
An optimization method for load management scheduling
inferredcites →https://doi.org/10.1109/59.466513openalex-snapshot
A column generation method for optimal load management via control of electric water heaters
inferredcites →https://doi.org/10.1109/acc.2014.6858874openalex-snapshot
Model predictive control approach to online computation of demand-side flexibility of commercial buildings HVAC systems for Supply Following
inferredcites →https://doi.org/10.1109/energycon.2012.6348243openalex-snapshot
Real-time scheduling for industrial load management
inferredcites →https://doi.org/10.1109/etfa.2009.5347150openalex-snapshot
Future design challenges for electric energy supply
inferredcites →https://doi.org/10.1109/etfa.2012.6489581openalex-snapshot
Feedback scheduling of real-time physical systems with integrator dynamics
inferredcites →https://doi.org/10.1109/etfa.2015.7301454openalex-snapshot
Applying limited-preemptive scheduling to peak load reduction in smart buildings
inferredcites →https://doi.org/10.1109/icapp.1996.562920openalex-snapshot
Proceedings 17th IEEE Real-Time Systems Symposium
inferredcites →https://doi.org/10.1109/indin.2007.4384893openalex-snapshot
A closer Look on Load Management
inferredcites →https://doi.org/10.1109/jproc.2010.2081652openalex-snapshot
Achieving Controllability of Electric Loads
inferredcites →https://doi.org/10.1109/pes.2008.4596708openalex-snapshot
Modeling future cyber-physical energy systems
inferredcites →https://doi.org/10.1109/real.1990.128746openalex-snapshot
Preemptively scheduling hard-real-time sporadic tasks on one processor
inferredcites →https://doi.org/10.1109/rtss.2011.34openalex-snapshot
On the Feasibility of Linear Discrete-Time Systems of the Green Scheduling Problem
inferredcites →https://doi.org/10.1109/tc.2006.113openalex-snapshot
The partitioned multiprocessor scheduling of deadline-constrained sporadic task systems
inferredcites →https://doi.org/10.1109/tc.2015.2495244openalex-snapshot
Proactive Demand Participation of Smart Buildings in Smart Grid
inferredcites →https://doi.org/10.1109/tii.2011.2166787openalex-snapshot
Real-Time Modeling for Direct Load Control in Cyber-Physical Power Systems
inferredcites →https://doi.org/10.1109/tpwrs.2003.811167openalex-snapshot
Demand subscription services - an iterative dynamic programming for the substation suffering from capacity shortage
inferredcites →https://doi.org/10.1109/tpwrs.2005.846060openalex-snapshot
Short-Term Scheduling of Battery in a Grid-Connected PV/Battery System
inferredcites →https://doi.org/10.1109/tsg.2012.2235865openalex-snapshot
Day-Ahead Resource Scheduling Including Demand Response for Electric Vehicles
inferredcites →https://doi.org/10.1109/tsg.2013.2262508openalex-snapshot
Real-Time Scheduling of Distributed Resources
inferredcites →https://doi.org/10.1109/tsg.2015.2406316openalex-snapshot
Impact of Disturbances on Modeling of Thermostatically Controlled Loads for Demand Response
inferredcites →https://doi.org/10.1145/1837274.1837464openalex-snapshot
Cyber-physical energy systems
inferredcites →https://doi.org/10.23919/acc.2004.1383555openalex-snapshot
Proceedings of the 2004 American Control Conference
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.4682760openalex-extracted
Real-Time Cyber/Physical Interplay in Scheduling for Peak Load Optimization in Cyber-Physical Energy Systems
inferred← citeshttps://doi.org/10.1002/2050-7038.12615openalex-snapshot
Pricing scheme to ease energy poverty of low‐income population in smart grid
inferred← citeshttps://doi.org/10.1016/j.future.2026.108613openalex-snapshot
PLUTO: Platooning through Uncertainty-aware Task Offloading
inferred← citeshttps://doi.org/10.1016/j.iswa.2024.200380openalex-snapshot
Real-time cyber/physical interplay in scheduling for peak load optimisation in Cyber–Physical Energy Systems
inferred← citeshttps://doi.org/10.1049/dgt2.12012openalex-snapshot
Online demand peak shaving with machine‐learned advice in digital twins
inferred← citeshttps://doi.org/10.1109/access.2024.3395363openalex-snapshot
Challenges of CPS/IoT Network Architecture in 6G Era
inferred← citeshttps://doi.org/10.1109/dasc/picom/cbdcom/cy59711.2023.10361461openalex-snapshot
Online Demand Peak Shaving with Machine-Learned Advice in Cyber-Physical Energy Systems
inferred← citeshttps://doi.org/10.1109/icphys.2018.8387643openalex-snapshot
Cyber/physical interplay in the real-time scheduling for peak load optimization of electric loads
inferred← citeshttps://doi.org/10.1109/jsyst.2019.2933308openalex-snapshot
Multiobjective Optimal Scheduling Framework for HVAC Devices in Energy-Efficient Buildings
inferred← citeshttps://doi.org/10.1142/s1793962323410167openalex-snapshot
Quantum invasive weed optimization-based energy aware task scheduling for cyber–physical system environment
inferred← citeshttps://doi.org/10.1145/3517747openalex-snapshot
Scheduling in Real-Time Mobile Systems
inferred← citeshttps://doi.org/10.1177/00375497241313404openalex-snapshot
Hybrid resource allocation control in cyber-physical systems: a novel simulation-driven methodology with applications to UAVs
inferred← citeshttps://doi.org/10.3390/en13092169openalex-snapshot
Towards the Integration of Modern Power Systems into a Cyber–Physical Framework
inferred← citeshttps://doi.org/10.5755/j01.itc.50.4.29031openalex-snapshot
Analyzing Isolation in Mobile Systems
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