• Home
  • Search
  • Browse Collections
  • My Account
  • About
  • DC Network Digital Commons Network™
Skip to main content
Scholars Junction Mississippi State University
  • Home
  • About
  • FAQ
  • My Account

Home > Graduate Research > Graduate Research Symposium

Graduate Research
 

Graduate Research Symposium

The Graduate Student Research Symposium (GSRS) is an interdisciplinary forum comprised of a series of oral and poster presentations by graduate students from across the MSU campus. The GSRS was designed to highlight the quality and diversity of graduate-level research at MSU. The GSRS serves as an opportunity for graduate students to gain experience giving presentations and to receive meaningful feedback from an evaluative panel of established MSU faculty members and researchers in a conference-style venue.

Printing is not supported at the primary Gallery Thumbnail page. Please first navigate to a specific Image before printing.

Follow

Switch View to Grid View Slideshow
 
  • Comprehensive Wind Speed Forecasting-Based Analysis of Stacked Stateful & Stateless Models by Swayamjit Saha, Amogu Uduka, Hunter Walt, and James Lucore

    Comprehensive Wind Speed Forecasting-Based Analysis of Stacked Stateful & Stateless Models

    Swayamjit Saha, Amogu Uduka, Hunter Walt, and James Lucore

    Wind speed is a powerful source of renewable energy, which can be used as an alternative to the non-renewable resources for production of electricity. Renewable sources are clean, infinite and do not impact the environment negatively during production of electrical energy. However, while eliciting electrical energy from renewable resources viz. solar irradiance, wind speed, hydro should require special planning failing which may result in huge loss of labour and money for setting up the system. In this poster, we discuss four deep recurrent neural networks viz. Stacked Stateless LSTM, Stacked Stateless GRU, Stacked Stateful LSTM and Statcked Stateful GRU which will be used to predict wind speed on a short-term basis for the airport sites beside two campuses of Mississippi State University. The paper does a comprehensive analysis of the performance of the models used describing their architectures and how efficiently they elicit the results with the help of RMSE values. A detailed description of the time and space complexities of the above models has also been discussed.

 
 
 

Browse

  • Authors
  • Collections
  • Disciplines

Search

Advanced Search

  • Notify me via email or RSS

Author Corner

  • Author FAQ
  • Submit
  • Submission Help
  • Policies

Links

  • Graduate Research Symposium

Links

  • Mississippi State University Libraries
  • Copyright
  • Scholarly Communication Services
  • Digital Archival Content Accessibility
  • Terms of Use / Privacy Policy
  • Contact Us / Report Problems

MSU Libraries

395 Hardy Rd., Mississippi State, MS 39762
Phone: (662) 325-7668
Fax: (662) 325-0011
 
Elsevier - Digital Commons

Home | About | FAQ | My Account | Accessibility Statement

Privacy Copyright