Prediction techniques for renewable energy generation and load demand forecasting:
Gespeichert in:
Weitere Verfasser: | , , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Singapore, Singapore
Springer
[2023]
|
Schriftenreihe: | Lecture notes in electrical engineering
956 |
Schlagworte: | |
Beschreibung: | xii, 198 Seiten Illustrationen, Diagramme |
ISBN: | 9789811964893 |
Internformat
MARC
LEADER | 00000nam a2200000zcb4500 | ||
---|---|---|---|
001 | BV048840233 | ||
003 | DE-604 | ||
005 | 20230412 | ||
007 | t | ||
008 | 230302s2023 a||| |||| 00||| eng d | ||
020 | |a 9789811964893 |c hbk |9 978-981-19-6489-3 | ||
035 | |a (OCoLC)1367228647 | ||
035 | |a (DE-599)BVBBV048840233 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-29T | ||
082 | 0 | |a 621.31 |2 23 | |
084 | |a ELT 000 |2 stub | ||
245 | 1 | 0 | |a Prediction techniques for renewable energy generation and load demand forecasting |c Anuradha Tomar, Prerna Gaur, Xiaolong Jin, editors |
264 | 1 | |a Singapore, Singapore |b Springer |c [2023] | |
300 | |a xii, 198 Seiten |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a Lecture notes in electrical engineering |v 956 | |
650 | 4 | |a Electrical Power Engineering | |
650 | 4 | |a Renewable Energy | |
650 | 4 | |a Artificial Intelligence | |
650 | 4 | |a Electric power production | |
650 | 4 | |a Renewable energy sources | |
650 | 4 | |a Artificial intelligence | |
655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
700 | 1 | |a Tomar, Anuradha |4 edt | |
700 | 1 | |a Gaur, Prerna |4 edt | |
700 | 1 | |a Jin, Xiaolong |4 edt | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-981-1964-90-9 |
830 | 0 | |a Lecture notes in electrical engineering |v 956 |w (DE-604)BV022422356 |9 956 | |
999 | |a oai:aleph.bib-bvb.de:BVB01-034105666 |
Datensatz im Suchindex
_version_ | 1804184950341107712 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author2 | Tomar, Anuradha Gaur, Prerna Jin, Xiaolong |
author2_role | edt edt edt |
author2_variant | a t at p g pg x j xj |
author_facet | Tomar, Anuradha Gaur, Prerna Jin, Xiaolong |
building | Verbundindex |
bvnumber | BV048840233 |
classification_tum | ELT 000 |
ctrlnum | (OCoLC)1367228647 (DE-599)BVBBV048840233 |
dewey-full | 621.31 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 621 - Applied physics |
dewey-raw | 621.31 |
dewey-search | 621.31 |
dewey-sort | 3621.31 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik |
discipline_str_mv | Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01462nam a2200421zcb4500</leader><controlfield tag="001">BV048840233</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230412 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">230302s2023 a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9789811964893</subfield><subfield code="c">hbk</subfield><subfield code="9">978-981-19-6489-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1367228647</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048840233</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">621.31</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ELT 000</subfield><subfield code="2">stub</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Prediction techniques for renewable energy generation and load demand forecasting</subfield><subfield code="c">Anuradha Tomar, Prerna Gaur, Xiaolong Jin, editors</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Singapore, Singapore</subfield><subfield code="b">Springer</subfield><subfield code="c">[2023]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xii, 198 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Lecture notes in electrical engineering</subfield><subfield code="v">956</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electrical Power Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Renewable Energy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electric power production</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Renewable energy sources</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4143413-4</subfield><subfield code="a">Aufsatzsammlung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tomar, Anuradha</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gaur, Prerna</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jin, Xiaolong</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-981-1964-90-9</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Lecture notes in electrical engineering</subfield><subfield code="v">956</subfield><subfield code="w">(DE-604)BV022422356</subfield><subfield code="9">956</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034105666</subfield></datafield></record></collection> |
genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
genre_facet | Aufsatzsammlung |
id | DE-604.BV048840233 |
illustrated | Illustrated |
index_date | 2024-07-03T21:37:35Z |
indexdate | 2024-07-10T09:47:29Z |
institution | BVB |
isbn | 9789811964893 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034105666 |
oclc_num | 1367228647 |
open_access_boolean | |
owner | DE-29T |
owner_facet | DE-29T |
physical | xii, 198 Seiten Illustrationen, Diagramme |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | Springer |
record_format | marc |
series | Lecture notes in electrical engineering |
series2 | Lecture notes in electrical engineering |
spelling | Prediction techniques for renewable energy generation and load demand forecasting Anuradha Tomar, Prerna Gaur, Xiaolong Jin, editors Singapore, Singapore Springer [2023] xii, 198 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Lecture notes in electrical engineering 956 Electrical Power Engineering Renewable Energy Artificial Intelligence Electric power production Renewable energy sources Artificial intelligence (DE-588)4143413-4 Aufsatzsammlung gnd-content Tomar, Anuradha edt Gaur, Prerna edt Jin, Xiaolong edt Erscheint auch als Online-Ausgabe 978-981-1964-90-9 Lecture notes in electrical engineering 956 (DE-604)BV022422356 956 |
spellingShingle | Prediction techniques for renewable energy generation and load demand forecasting Lecture notes in electrical engineering Electrical Power Engineering Renewable Energy Artificial Intelligence Electric power production Renewable energy sources Artificial intelligence |
subject_GND | (DE-588)4143413-4 |
title | Prediction techniques for renewable energy generation and load demand forecasting |
title_auth | Prediction techniques for renewable energy generation and load demand forecasting |
title_exact_search | Prediction techniques for renewable energy generation and load demand forecasting |
title_exact_search_txtP | Prediction techniques for renewable energy generation and load demand forecasting |
title_full | Prediction techniques for renewable energy generation and load demand forecasting Anuradha Tomar, Prerna Gaur, Xiaolong Jin, editors |
title_fullStr | Prediction techniques for renewable energy generation and load demand forecasting Anuradha Tomar, Prerna Gaur, Xiaolong Jin, editors |
title_full_unstemmed | Prediction techniques for renewable energy generation and load demand forecasting Anuradha Tomar, Prerna Gaur, Xiaolong Jin, editors |
title_short | Prediction techniques for renewable energy generation and load demand forecasting |
title_sort | prediction techniques for renewable energy generation and load demand forecasting |
topic | Electrical Power Engineering Renewable Energy Artificial Intelligence Electric power production Renewable energy sources Artificial intelligence |
topic_facet | Electrical Power Engineering Renewable Energy Artificial Intelligence Electric power production Renewable energy sources Artificial intelligence Aufsatzsammlung |
volume_link | (DE-604)BV022422356 |
work_keys_str_mv | AT tomaranuradha predictiontechniquesforrenewableenergygenerationandloaddemandforecasting AT gaurprerna predictiontechniquesforrenewableenergygenerationandloaddemandforecasting AT jinxiaolong predictiontechniquesforrenewableenergygenerationandloaddemandforecasting |