Download Udemy - Big Data Methods For Energy Systems Torrent

Torrent Contents Size: 1.3 GB

Udemy - Big Data Methods For Energy Systems

▼ show more 19 files

1 - Summary.html	HTML	1.9 KB
10 - Step4 Calculation of the minimum Load Factor Error.mp4	MP4	66 MB
10 - bigDataDemand-step4.xlsx	XLSX	3.8 MB
11 - Step4 using Python.mp4	MP4	173.8 MB
11 - bigDataDemand.xlsx	XLSX	916.1 KB
12 - Step5 Finding the day where the minimum error occurs.mp4	MP4	51.4 MB
12 - bigDataDemand-step5.xlsx	XLSX	4.8 MB
13 - Step5 using Python.mp4	MP4	159.9 MB
14 - Step6 Calculation of the small dataset that has the typical days.mp4	MP4	87.7 MB
14 - bigDataDemand-step6.xlsx	XLSX	5.7 MB
14 - slides.pdf	PDF	81.1 KB
15 - Step6 using Python.mp4	MP4	224.9 MB
2 - Description of the Methodology & Associated risks.mp4	MP4	16.4 MB
2 - slides.pdf	PDF	110.2 KB
3 - Structure of Big Data on Electricity Demand.mp4	MP4	43.6 MB
3 - bigDataDemand.xlsx	XLSX	914.2 KB
3 - slides.pdf	PDF	91.6 KB
4 - Step1 Calculation of seasonal statistics for the load factor using EXCEL.mp4	MP4	41.7 MB
4 - bigDataDemand-step1.xlsx	XLSX	919.6 KB
4 - slides.pdf	PDF	89.7 KB
5 - Big-Data-in-Energy-Step-1-course.ipynb	IPYNB	7.3 MB
5 - Step 1 using Python.mp4	MP4	82.5 MB
5 - bigDataDemand-step1.xlsx	XLSX	919.6 KB
6 - Step2 Calculation of daily average Load Factor timeseries.mp4	MP4	40.5 MB
6 - bigDataDemand-step2.xlsx	XLSX	1.8 MB
7 - Big-Data-in-Energy-Step-2-course.ipynb	IPYNB	8.2 MB
7 - Step 2 using Python.mp4	MP4	120.7 MB
8 - Step3 Finding the error of daily average from seasonal load factors.mp4	MP4	27.2 MB
8 - bigDataDemand-step3.xlsx	XLSX	2.8 MB
9 - Step3 using Python.mp4	MP4	126.3 MB
9 - bigDataDemand.xlsx	XLSX	916.1 KB
9 - notice.txt	TXT	307.2 B
Bonus Resources.txt	TXT	409.6 B
Get Bonus Downloads Here.url	URL	204.8 B

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Udemy - Big Data Methods For Energy Systems

Torrent Contents Size: 1.3 GB

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