2025-02-22T09:47:08-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-132091%22&qt=morelikethis&rows=5
2025-02-22T09:47:08-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-132091%22&qt=morelikethis&rows=5
2025-02-22T09:47:08-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T09:47:08-05:00 DEBUG: Deserialized SOLR response
Usage of artificial neural networks in the energy sector
The work covers non-traditional methods of forecasting, in particular, methods using artificial neural networks. The article considers such vital moments as: neural network configuration, normalization of input data, also random factors which have influence on the accuracy of load forecasts, are tak...
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| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Інститут проблем штучного інтелекту МОН України та НАН України
2016
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| Series: | Штучний інтелект |
| Subjects: | |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/132091 |
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2025-02-22T09:47:08-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&rows=40&rows=5&wt=json&json.nl=arrarr&q=id%3A%22irk-123456789-132091%22&qt=morelikethis
2025-02-22T09:47:08-05:00 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%22irk-123456789-132091%22&qt=morelikethis
2025-02-22T09:47:08-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T09:47:08-05:00 DEBUG: Deserialized SOLR response