2025-02-23T07:01:19-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22eiekhpieduua-article-293410%22&qt=morelikethis&rows=5
2025-02-23T07:01:19-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22eiekhpieduua-article-293410%22&qt=morelikethis&rows=5
2025-02-23T07:01:19-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T07:01:19-05:00 DEBUG: Deserialized SOLR response
Maximizing solar photovoltaic system efficiency by multivariate linear regression based maximum power point tracking using machine learning
Introduction. In recent times, there has been a growing popularity of photovoltaic (PV) systems, primarily due to their numerous advantages in the field of renewable energy. One crucial and challenging task in PV systems is tracking the maximum power point (MPP), which is essential for enhancing the...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine”
2024
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| Subjects: | |
| Online Access: | http://eie.khpi.edu.ua/article/view/293410 |
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2025-02-23T07:01:19-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22eiekhpieduua-article-293410%22&qt=morelikethis
2025-02-23T07:01:19-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22eiekhpieduua-article-293410%22&qt=morelikethis
2025-02-23T07:01:19-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-23T07:01:19-05:00 DEBUG: Deserialized SOLR response