Review and classification of barriers and enablers of demand response in the smart grid
By Nicholas Good, Keith A. Ellis, Pierluigi Mancarella. 2017
262 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/716b2d9f247bb71ba39b7fe35ae1c324ff347b10
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Thomas Morstyn
- Malcolm Duncan McCulloch
- Alexander Teytelboym
- Qiuwei Wu
- H. Jia
- Xiaolong Jin
- Wayes Tushar
- Chau Yuen
In Electrical and Electronic Engineering
- Thomas Morstyn
- Malcolm Duncan McCulloch
- Alexander Teytelboym
- Niall Farrell
- Sarah Darby
- John Krogstie
- Ilias O. Pappas
- Patrick Mikalef
Citations in the corpus
- Prosumer Communities and Relationships in Smart Grids: A Literature Review, Evolution and Future Directions (2018, background): “Factors under all three aspects may affect demand response in smart grid either as a barrier or as an enabler [84].”
- Designing Decentralized Markets for Distribution System Flexibility (2019, background): “These strategies do not address how prosumers can be incentivized to provide flexibility, and do not consider prosumers who may be willing to provide some flexibility, but may be unwilling to cede full control [11].”
- Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants (2018, background): “It is challenging for direct control strategies to provide sufficient flexibility and end-use functionality to appeal to prosumers [15].”
- Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities (2020, background): “…highlights that realizing technological capability improvements in any industry, including energy and infrastructure, requires employees with the appropriate technical and business skill-set [102], as well as a data-driven culture and an orientation toward organizational learning [103].”