Name
Title | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/JPROC.2020.2983388 | Proceedings of the IEEE |
Keywords | DocType | Volume |
Demand response (DR),Markov decision process (MDP),multi-energy systems,smart buidlings,stochastic optimization,robust optimization,reinforcement learning | Journal | 108 |
Issue | ISSN | Citations |
9 | 0018-9219 | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Hassan | 1 | 5 | 1.13 |
| Samrat Acharya | 2 | 7 | 2.02 |
| M. Chertkov | 3 | 48 | 5.62 |
| Deepjyoti Deka | 4 | 68 | 16.63 |
| Yury Dvorkin | 5 | 11 | 1.94 |