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Ali Hassan 0005

dblp:65/6722-5 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0001-8167-4186ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Energy systems and smart grids · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy systems and smart grids
demand response
0.412020
A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications · Proc. IEEE 2020
Energy systems and smart grids
multienergy systems
0.412020
A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications · Proc. IEEE 2020
Energy systems and smart grids › renewable energy
renewable energy integration
0.112020
A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications · Proc. IEEE 2020

Methods — techniques the papers use, named apart from their topics

hierarchical control · 0.4ensemble control · 0.4
YearPublicationVenuePosition
2020 A Hierarchical Approach to Multienergy Demand Response: From Electricity to Multienergy Applications
abstract
Due to proliferation of energy efficiency measures and availability of the renewable energy resources, traditional energy infrastructure systems (electricity, heat, gas) can no longer be operated in a centralized manner under the assumption that consumer behavior is inflexible, i.e., cannot be adjusted in return for an adequate incentive. To allow for a less centralized operating paradigm, consumer-end perspective and abilities should be integrated in current dispatch practices and accounted for in switching between different energy sources not only at the system but also at the individual consumer level. Since consumers are confined within different built environments, this article looks into an opportunity to control energy consumption of an aggregation of many residential, commercial, and industrial consumers, into an ensemble. This ensemble control becomes a modern demand response (DR) contributor to the set of modeling tools for multienergy infrastructure systems.
Ali Hassan 0005, Samrat Acharya, Michael Chertkov, Deepjyoti Deka, Yury Dvorkin
Proc. IEEE1