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Energy Markets and Responsive Grids : Modeling, Control, and Optimization
other
Editor(s):
Sean Meyn
,
Tariq Samad
,
Ian Hiskens
,
Jakob Stoustrup
Publication date
(Print):
2018
Publisher:
Springer New York
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The Journal of Prediction Markets
Author and book information
Book
ISBN (Print):
978-1-4939-7821-2
ISBN (Electronic):
978-1-4939-7822-9
Publication date (Print):
2018
DOI:
10.1007/978-1-4939-7822-9
SO-VID:
cd782259-e873-415a-a6e6-dd42b7939d05
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Book chapters
pp. 1
How to Manage the Complexity of the Grid?
pp. 29
Naïve Electricity Markets
pp. 59
Capacity Markets: Rationale, Designs, and Trade-Offs
pp. 73
Redesign of US Electricity Capacity Markets
pp. 105
A Swing-Contract Market Design for Flexible Service Provision in Electric Power Systems
pp. 129
A Dynamic Framework for Electricity Markets
pp. 155
Fast Market Clearing Algorithms
pp. 177
Small Resource Integration Challenges for Large-Scale SCUC
pp. 195
Multi-Grid Schemes for Multi-Scale Coordination of Energy Systems
pp. 223
Graphical Models and Belief Propagation Hierarchy for Physics-Constrained Network Flows
pp. 251
Profit Maximizing Storage Integration in AC Power Networks
pp. 281
Virtual Inertia Placement in Electric Power Grids
pp. 307
A Hierarchy of Models for Inverter-Based Microgrids
pp. 333
Asynchronous Coordination of Distributed Energy Resources with Packetized Energy Management
pp. 363
Ensemble Control of Cycling Energy Loads: Markov Decision Approach
pp. 383
Distributed Control Design for Balancing the Grid Using Flexible Loads
pp. 413
Disaggregating Load by Type from Distribution System Measurements in Real Time
pp. 439
Risk-Aware Demand Management of Aggregators Participating in Energy Programs with Utilities
pp. 461
Toward Resilience-Aware Resource Allocation and Dispatch in Electricity Distribution Networks
pp. 491
A Cautionary Tale: On the Effectiveness of Inertia-Emulating Load as a Cyber-Physical Attack Path
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