jiafan.org valuation and analysis
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
| BingBot | / | ✔ |
| BaiduSpider | / | ✔ |
| YandexBot | / | ✔ |
Meta Tags
| Title | Jiafan |
| Description | Jiafan Yu Ph.D. Candidate Stanford University Home Publications Research Project Single PHD Students Gallery --> Contact Me Download CV --> About Me |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 52.219.24.172 |
| Location | United States |
Related Websites
| Site | Rank |
More to Explore
jiafan.org Valuation
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US$1,911
Last updated: 2022-07-26 02:43:36
jiafan.org has Semrush global rank of 0. jiafan.org has an estimated worth of US$ 1,911, based on its estimated Ads revenue. jiafan.org receives approximately 220 unique visitors each day. Its web server is located in United States, with IP address 52.219.24.172. According to SiteAdvisor, jiafan.org is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$1,911 |
| Daily Ads Revenue | US$1 |
| Monthly Ads Revenue | US$52 |
| Yearly Ads Revenue | US$635 |
| Daily Unique Visitors | 14 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| jiafan.org. | A | 5 | IP: 52.219.24.172 |
| jiafan.org. | NS | 21600 | NS Record: ns-113.awsdns-14.com. |
| jiafan.org. | NS | 21600 | NS Record: ns-1201.awsdns-22.org. |
| jiafan.org. | NS | 21600 | NS Record: ns-1732.awsdns-24.co.uk. |
| jiafan.org. | NS | 21600 | NS Record: ns-973.awsdns-57.net. |
| jiafan.org. | MX | 1800 | MX Record: 10 inbound-smtp.us-west-2.amazonaws.com. |
HtmlToTextCheckTime:2022-07-26 02:43:36
| Jiafan Yu Ph.D. Candidate Stanford University Home Publications Research Project Single PHD Students Gallery --> Contact Me Download CV --> About Me L aying at the intersection between machine learning and energy systems, I am passionate about using data-driven approaches to enable a 100% renewable energy infrastructure and a clean and efficient electric grid. I am currently a Ph.D. Candidate at the Department of Electrical Engineering , Stanford University and I am fortunately advised by Professor Ram Rajagopal . My primary research focus is on the data-driven modelling, optimization, and planning of electric power systems. In particular, I am applying advanced machine learning techniques to solve the emerging problems in distribution electric grids brought by the penetration of distributed energy resources, such as solar generations, battery storage and EVs. I am proud to be a member of Stanford Bits & Watts Initiative , and to be the student leader of the VADER project . I |
HTTP Headers
HTTP/1.1 200 OK x-amz-id-2: /DJONp9fjOfYO2cqV/6PTgyq+WvIuhV07x1WoZQALF8CNIsqNm1MaQIJHhae5dJeBDIaT6/DASI= x-amz-request-id: VD9ZBZBV8JR570T7 Date: Tue, 23 Nov 2021 08:30:49 GMT Last-Modified: Fri, 10 Aug 2018 21:40:55 GMT ETag: "86db2d8e69711b2c579f8e7f7711444f" Content-Type: text/html Server: AmazonS3 Content-Length: 19154 |
jiafan.org Whois Information
WHOIS LIMIT EXCEEDED - SEE WWW.PIR.ORG/WHOIS FOR DETAILS |