| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_c093513361ad61527745300558169423 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A90-10 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-048
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-30 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-04
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/G06N20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-30 |
| filingDate |
2021-11-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_abe59e9d655eeaf89a99d419e4b28f44
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_36bc464d9278908f8dc04bdcce990793
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ed219f3fc3bbf8a2c8ea93d1ffc48741
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_48bf3150c26c4f76b63b751ba4c1df49
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_51bc9f9e87e0def22a011a4a47711317 |
| publicationDate |
2022-03-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114118537-A |
| titleOfInvention |
A combined prediction method of airspace flight carbon emissions |
| abstract |
The invention discloses a combined prediction method for airspace flight carbon emissions. Obtain the airspace flight carbon emission historical time series data set; input the airspace flight carbon emission historical time series data set into the trained LSTM prediction model and XGBoost prediction model respectively, and obtain the carbon emission prediction results of the two models correspondingly; adopt adaptive time-varying The weighting method fuses the carbon emission prediction results of the two models to obtain the airspace flight carbon emission prediction results. The invention comprehensively utilizes the LSTM prediction model and the XGBoost prediction model to predict the carbon emissions of airspace flights, and uses the adaptive time-varying weighting method to fuse the prediction results of the two prediction models, so as to realize accurate perception of the carbon emissions of airspace flights. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115564106-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115564106-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115564114-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116307298-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116307298-A |
| priorityDate |
2021-11-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |