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Decentralized optimization for effective coordination of transmission and distribution systems with dynamic DER aggregation. [PDF]
Raghunathan N, Wang Z, Chen F, Yan B.
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The role of the hippocampus and retrosplenial cortex in spatial memory: a double blind anodal transcranial direct current stimulation study. [PDF]
De Biase R +4 more
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Digital twin driven smart factories: real time physics based co-simulation using edge a.i. and federated learning. [PDF]
Padmavathi V, Kanimozhi R, Saminathan R.
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Restorative effects and perception of nature-themed artworks in indoor environments: an empirical study based on VR+EEG. [PDF]
Chen J +7 more
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Characterising Virtual Power Plants
International Journal of Electrical Engineering & Education, 2009The use of small-scale generation based on disparate new and renewable technologies is becoming more prevalent due to the imperative to reduce greenhouse gas emissions that are thought to be the chief cause of climate change. As penetration of these distributed elements increases, displacing central generation, there is a growing need to understand ...
Newman, Guy, Mutale, Joseph
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2020
This chapter provides an overview of decision-making problems related to virtual power plants (VPPs). Section 1.1 defines the concept of VPP. Section 1.2 describes the basic organization of current electricity markets. Section 1.3 explains the strong relationship between VPPs and smart grids. Section 1.4 provides an overview of decision-making problems
Luis Baringo, Morteza Rahimiyan
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This chapter provides an overview of decision-making problems related to virtual power plants (VPPs). Section 1.1 defines the concept of VPP. Section 1.2 describes the basic organization of current electricity markets. Section 1.3 explains the strong relationship between VPPs and smart grids. Section 1.4 provides an overview of decision-making problems
Luis Baringo, Morteza Rahimiyan
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Optimal power scheduling in a Virtual Power Plant
2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies, 2011This paper proposes a novel approach where the Energy Management System of a Virtual Power Plant decides the optimal power scheduling not on the basis of some predefined policies, but upon the solution of an optimisation problem. The scheduling decision is dynamic as it depends on variable factors, not fully predictable, such as renewable sources ...
ALOINI, DAVIDE +3 more
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