http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112288184-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ac31afbea1cbbb03498644721ffb4a62 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q30-0278 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-086 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-06 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q30-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-04 |
| filingDate | 2020-11-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_68e2ade6875dffa1a5a1d50860e56364 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d8c6351f5432ef8c60c7a39253b5b5b4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f6a5a1f6cf3535fa3e669c1d4427973c http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b3f9b99fdfd7c1dc571e32e417f0fbec |
| publicationDate | 2021-01-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112288184-A |
| titleOfInvention | Prediction method of clearing electricity price based on Kalman filter |
| abstract | The invention discloses a clearing electricity price prediction method based on Kalman filtering. By acquiring historical electricity price data within a set time range, and processing the historical electricity price data based on Kalman filtering, an optimal estimate of the electricity price data is obtained, and an optimal estimate of the electricity price data is obtained. The optimal estimate of the electricity price data is divided into a training set and a test set. The training set is used to train the GA-BP model to obtain an electricity price prediction model. It corrects abnormal points through Kalman filtering, which reduces the influence of noise and other disturbances caused by the negative characteristics of historical price data series on the prediction accuracy, which is conducive to accurate prediction of electricity prices in the future period, and is also conducive to power generation enterprises. Formulate the optimal power generation strategy and quotation strategy. |
| priorityDate | 2020-11-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 |
Total number of triples: 24.