About: A Heuristic to Create Prosumer Community Groups in the Social Internet of Energy

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: A Heuristic to Create Prosumer Community Groups in the Social Internet of Energy Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	A Heuristic to Create Prosumer Community Groups in the Social Internet of Energy
Creator	Zaballos, Agustín Caballero, Víctor Vernet, David
topic	covid:e06c901d33a6d48aa55cd74137c403c0f98f7543#this
Source	Medline; PMC
abstract	Contrary to the rapid evolution experienced in the last decade of Information and Communication Technologies and particularly the Internet of Things, electric power distribution systems have remained exceptionally steady for a long time. Energy users are no longer passive actors; the prosumer is expected to be the primary agent in the Future Grid. Demand Side Management refers to the management of energy production and consumption at the demand side, and there seems to be an increasing concern about the scalability of Demand Side Management services. The creation of prosumer communities leveraging the Smart Grid to improve energy production and consumption patterns has been proposed in the literature, and several works concerned with scalability of Demand Side Management services group prosumers to improve Demand Side Management services scalability. In our previous work, we coin the term Social Internet of Energy to refer to the integration between devices, prosumers and groups of prosumers via social relationships. In this work, we develop an algorithm to coordinate the different clusters we create using the clustering method by load profile compatibility (instead of similarity). Our objective is to explore the possibilities of the cluster-by-compatibility heuristic we proposed in our previous work. We perform experiments using synthetic and real datasets. Results show that we can obtain a global reduction in Peak-to-Average Ratio with datasets containing up to 200 rosumers and creating up to 6 Prosumer Community Groups, and imply that those Prosumer Community Groups can perform load rescheduling semi-autonomously and in parallel with each other.
has issue date	2020-07-02(xsd:dateTime)
bibo:doi	10.3390/s20133704
bibo:pmid	32630750
has license	cc-by
sha1sum (hex)	e06c901d33a6d48aa55cd74137c403c0f98f7543
schema:url	https://doi.org/10.3390/s20133704
resource representing a document's title	A Heuristic to Create Prosumer Community Groups in the Social Internet of Energy
has PubMed Central identifier	PMC7374439
has PubMed identifier	32630750
schema:publication	Sensors (Basel)
resource representing a document's body	covid:e06c901d33a6d48aa55cd74137c403c0f98f7543#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/e06c901d33a6d48aa55cd74137c403c0f98f7543
is schema:about of	named entity 'TECHNOLOGIES' named entity 'LOAD' named entity 'SERVICES' covid:arg/e06c901d33a6d48aa55cd74137c403c0f98f7543 named entity 'prosumers' named entity 'prosumers' named entity 'Information and Communication Technologies' named entity 'Internet' named entity 'prosumers' named entity 'Demand Side Management' named entity 'Smart Grid' named entity 'Demand Side Management' named entity 'scalability' named entity 'Prosumer' named entity 'supply and demand' named entity 'Heuristic' named entity 'Web of Things' named entity 'scalability' named entity 'IoT' named entity 'Internet' named entity 'consumption pattern' named entity 'pertain' named entity 'Cloud computing infrastructure' named entity 'IoT' named entity 'smart meter' named entity 'algorithm' named entity 'IoT' named entity 'algorithm' named entity 'reference case' named entity 'IoT' named entity 'energy consumption' named entity 'edge computing' named entity 'small world phenomenon' named entity 'algorithm' named entity 'Algorithm' named entity 'power quality' named entity 'greedy algorithm' named entity 'washing machine' named entity 'power consumption' named entity 'algorithm' named entity 'local area network' named entity 'sample size' named entity 'algorithm' named entity 'sample size' named entity 'PCGs' named entity 'NP-hard' named entity 'cost-effective' named entity 'electricity' named entity 'IoT' named entity 'optimization problem' named entity 'IoT' named entity 'load curve' named entity 'Internet' named entity 'PCGs' named entity 'main grid' named entity 'machine-to-machine communications' named entity 'semantic Web' named entity 'distributed algorithm' named entity 'algorithm' named entity 'PCGs' named entity 'energy demand' named entity 'tumble dryer' named entity 'algorithm' named entity 'sample size' named entity 'electricity grid' named entity 'RES' named entity 'prosumer' named entity 'cloud infrastructure' named entity 'scalability' named entity 'solar PV' named entity 'PCGs' named entity 'algorithm' named entity 'worldwide network' named entity 'non-renewable energy sources' named entity 'actuators' named entity 'service discovery' named entity 'prosumers'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software