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Optimal Scheduling of Demand Response Events for Electric Utilities

https://doi.org/10.1109/tsg.2013.2269540
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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.enpol.2006.06.019openalex-snapshot
Residential implementation of critical-peak pricing of electricity
inferredcites →https://doi.org/10.1016/j.epsr.2008.04.002openalex-snapshot
A summary of demand response in electricity markets
inferredcites →https://doi.org/10.1109/eem.2009.5207139openalex-snapshot
Optimal implementation strategies for critical peak pricing
inferredcites →https://doi.org/10.1109/pes.2007.385559openalex-snapshot
Option Valuation Applied to Implementing Demand Response via Critical Peak Pricing
inferredcites →https://doi.org/10.1109/pes.2007.385728openalex-snapshot
Demand Response in Electricity Markets: An Overview
inferredcites →https://doi.org/10.1109/pes.2007.386227openalex-snapshot
Load Response Fundamentally Matches Power System Reliability Requirements
inferredcites →https://doi.org/10.1109/pes.2011.6039603openalex-snapshot
Critical peak pricing tariff design for mass consumers in Great Britain
inferredcites →https://doi.org/10.1109/smartgridcomm.2011.6102350openalex-snapshot
Optimal time-of-use pricing for residential load control
inferredcites →https://doi.org/10.1109/tsg.2010.2078843openalex-snapshot
Real-Time Demand Response Model
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Secretary Problems: Weights and Discounts
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Impact of Smart Grid Technologies on Peak Load to 2050
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Optimal Stopping Rules.
inferredcites →https://doi.org/10.5555/1070432.1070519openalex-snapshot
A multiple-choice secretary algorithm with applications to online auctions

What points at this work

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

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Effectiveness: Demand Response Programs Comparing Price Signals and Direct Load Control
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Proactive Scheduling and Reactive Real-Time Control in Industry 4.0
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Optimal thermostatically-controlled residential demand response for retail electric providers
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Demand response management system with discrete time window using supervised learning algorithm
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Artificial intelligence-enabled probabilistic load demand scheduling with dynamic pricing involving renewable resource
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Analyzing the impact of the 5CP Ontario peak reduction program on large consumers
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Study on Dynamic Adjustment Method of Power Grid Critical Peak Periods Considering Load Characteristics
inferred← citeshttps://doi.org/10.1088/1755-1315/804/3/032038openalex-snapshot
Research on Electric Energy Peak-Valley Time Division Method Based on Supply-Demand Ratio
inferred← citeshttps://doi.org/10.1109/access.2025.3582201openalex-snapshot
Similarity-Based Clustering for Identification and Segmentation of Responsive Electricity Customers
inferred← citeshttps://doi.org/10.1109/cc.2015.7385529openalex-snapshot
Event-oriented dynamic security service for demand response in smart grid employing mobile networks
inferred← citeshttps://doi.org/10.1109/comst.2014.2341586openalex-snapshot
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms
inferred← citeshttps://doi.org/10.1109/iciset.2018.8745617openalex-snapshot
A Demand Side Management Algorithm with Revision of Energy Usage Blocks for Residential Customers of Dhaka City
inferred← citeshttps://doi.org/10.1109/icsae.2016.7810195openalex-snapshot
Heuristic scheduling of multiple smart home appliances: Utility planning perspective
inferred← citeshttps://doi.org/10.1109/irec.2014.6826974openalex-snapshot
Using M2M communication for shaving peak of energy demand
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A Real-Time Dynamic Pricing Algorithm for Smart Grid With Unstable Energy Providers and Malicious Users
inferred← citeshttps://doi.org/10.1109/pesgm.2017.8274116openalex-snapshot
Weather variation and climate change impacts on power system
inferred← citeshttps://doi.org/10.1109/tim.2014.2347671openalex-snapshot
Power System Frequency Estimation by Using a Newton-Type Technique for Smart Meters
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Assessing the Privacy Cost in Centralized Event-Based Demand Response for Microgrids
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Table of Contents
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Decarbonizing the Global Electricity Sector through Demand-Side Management: A Systematic Critical Review of Policy Responses
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A Cluster-Based Baseline Load Calculation Approach for Individual Industrial and Commercial Customer
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Optimal Operation of Critical Peak Pricing for an Energy Retailer Considering Balancing Costs
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