Towards Fast Response, Reduced Processing and Balanced Load in Fog-Based Data-Driven Smart Grid
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- Jones Luís Schaefer & Julio Cezar Mairesse Siluk & Patrícia Stefan de Carvalho & José Renes Pinheiro & Paulo Smith Schneider, 2020. "Management Challenges and Opportunities for Energy Cloud Development and Diffusion," Energies, MDPI, vol. 13(16), pages 1-27, August.
- Gisliany Alves & Danielle Marques & Ivanovitch Silva & Luiz Affonso Guedes & Maria da Guia da Silva, 2019. "A Methodology for Dependability Evaluation of Smart Grids," Energies, MDPI, vol. 12(9), pages 1-23, May.
- Haghnegahdar, Lida & Chen, Yu & Wang, Yong, 2022. "Enhancing dynamic energy network management using a multiagent cloud-fog structure," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
- S. Sofana Reka & Prakash Venugopal & V. Ravi & Tomislav Dragicevic, 2023. "Privacy-Based Demand Response Modeling for Residential Consumers Using Machine Learning with a Cloud–Fog-Based Smart Grid Environment," Energies, MDPI, vol. 16(4), pages 1-16, February.
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Keywords
response time; processing time; microgrid; recurring cost; data-driven smart grid; resource allocation; residential buildings; energy management; demand side; cloud-fog based smart grid;All these keywords.
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