A Hybrid Intelligent Multiagent System for the Remote Control of Solar Farms

Hernández, María Dolores Noguero; Romero-Ternero, M. C.; Sivianes, F.; Carrasco, Alejandro; Ropero, Jorge

doi:10.1080/08839514.2018.1530854

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…This implementation of the proposed Bayesian network was carried out over a previously developed multiagent system, based on JADE [37] and called CARISMA [31,38,39,40]. This multiagent system uses expert systems to make decisions or produce recommendations.…”

Section: Methodsmentioning

confidence: 99%

“…In order to study the performance of the implemented system, a specific scenario was set up where its operation was studied in detail. Bear in mind that the implementation was carried out within the base system developed: CARISMA [31,38,39,40]. This system originates from a solar farm that consists of three zones, of which all zones have a common teleoperator agent, although each zone has its own coordinator and operator agents.…”

Section: Measurements and Efficiency Testsmentioning

confidence: 99%

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A Distributed Approach for Estimating Battery State-Of-Charge in Solar Farms

Romero-Ternero

Oviedo-Olmedo

Carrasco

et al. 2019

Sensors

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A common problem in solar farms is to predict when accumulators stop working optimally and start losing efficiency. This paper proposes and describes how to use Bayesian networks together with expert systems to predict this moment by using a telecontrol multiagent system for monitoring solar farms with distributed sensors, which was developed in a previous work. To this end, a Bayesian network model and its implementation are proposed. The resulting system meets the requirements of telecontrol systems (reliability, flexibility, and response time), yields a solution for the prediction of lifespan batteries, and provides the multiagent system with autonomous intelligent capabilities and integrated learning.

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Section: Methodsmentioning

confidence: 99%

Section: Measurements and Efficiency Testsmentioning

confidence: 99%

A Distributed Approach for Estimating Battery State-Of-Charge in Solar Farms

Romero-Ternero

Oviedo-Olmedo

Carrasco

et al. 2019

Sensors

Self Cite

View full text Add to dashboard Cite

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Ontology in Hybrid Intelligence: A Concise Literature Review

Pileggi

2024

Future Internet

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In the context of the constant evolution and proliferation of AI technology, hybrid intelligence is gaining popularity in reference to a balanced coexistence between human and artificial intelligence. The term has been extensively used over the past two decades to define models of intelligence involving more than one technology. This paper aims to provide (i) a concise and focused overview of the adoption of ontology in the broad context of hybrid intelligence regardless of its definition and (ii) a critical discussion on the possible role of ontology to reduce the gap between human and artificial intelligence within hybrid-intelligent systems, as well as (iii) the identification of possible future research directions in the field. Alongside the typical benefits provided by the effective use of ontologies at a conceptual level, the conducted analysis has highlighted a significant contribution of ontology to improving quality and accuracy, as well as a more specific role to enable extended interoperability, system engineering and explainable/transparent systems. Additionally, an application-oriented analysis has shown a significant role in present systems (70+% of cases) and, potentially, in future systems. However, despite the relatively consistent number of papers on the topic, a proper holistic discussion on the establishment of the next generation of hybrid-intelligent environments with a balanced co-existence of human and artificial intelligence is fundamentally missed in the literature. Last but not the least, there is currently a relatively low explicit focus on automatic reasoning and inference in hybrid-intelligent systems.

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A Hybrid Intelligent Multiagent System for the Remote Control of Solar Farms

Cited by 2 publications

References 16 publications

A Distributed Approach for Estimating Battery State-Of-Charge in Solar Farms

A Distributed Approach for Estimating Battery State-Of-Charge in Solar Farms

Ontology in Hybrid Intelligence: A Concise Literature Review

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