ElectricDemandForecasting-DL:时间卷积网络的电力需求预测
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2021-05-21
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ElectricDemandForecasting-DL-master.zip （49个子文件） 
ElectricDemandForecasting-DL-master 
.gitignore 3KB README.md 969B LICENSE 1KB run_experiments.sh 74B src utils auxiliary_plots.py 799B metrics.py 10KB print_functions.py 990B models.py 2KB main.py 2KB simple_demo.py 4KB experiments.py 10KB preprocessing data_generation.py 4KB normalization.py 2KB notebooks visualizeData.ipynb 12KB download_electric_demand_data.ipynb 3KB ResultsEV.ipynb 12KB ResultsED.ipynb 7KB TrainTCN_sample.ipynb 7KB data hourly_20140102_20191101.csv 16.19MB CECOVEL_train.csv 202KB CECOVEL.csv 260KB hourly_20140102_20191101_test.csv 3.23MB CECOVEL_test.csv 51KB hourly_20140102_20191101_train.csv 12.93MB files images MTSF-MovingWindowScheme.eps 240KB ED-loss_50epochs_144PastHistory.eps 25KB EV-loss_50epochs_672PastHistory.eps 25KB EV-daily_1-2-2016_7-2-2016.eps 28KB EV-TCN.eps 190KB EV-weekly.eps 39KB ED-yearly.eps 56KB EV-loss_50epochs_336PastHistory.eps 24KB EV-entire.eps 155KB TCN-CausalConv.eps 26KB ED-weekly.eps 108KB TCN-DilatedCausalConv.eps 24KB ED-loss_50epochs_288PastHistory.eps 25KB ED-TCN.eps 193KB ED-daily_4-2-2019_11-2-2019.eps 47KB EV-ResultsDistribution-pastHistory.eps 25KB EV-loss_50epochs_168PastHistory.eps 25KB ED-entire.eps 310KB TCN-NonCausalConv.eps 21KB ED-loss_50epochs_168PastHistory.eps 24KB ED-ResultsDistribution-pastHistory.eps 23KB results experimental_results_electricity.csv 864KB experimental_results_ED-loss.csv 14KB experimental_results_ED-TrainingTime.csv 530B experimental_results_CECOVEL.csv 2.13MB资源评论
