International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 5
September-October 2024
Indexing Partners
Cost-minimization and Implicit Innovative Training for Energy Prediction using Deep Neural Network
Author(s) | S R M TEJESHWAR, B VIJAY GANESH, U G PRADEESHWAR, DEEPIKA |
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Country | India |
Abstract | To alleviate adverse environmental impacts, power stations and energy grids must optimize resource application for power generation. Accordingly, soothsaying guests' energy consumption has come integral to every energy operation system. exercising data from smart homes, energy operation information can train deep neural networks to anticipate unborn energy demands. As the frugality advances, both energy product and consumption have steadily increased over the times. Amidst global enterprises over energy force and environmental challenges, this study introduces a new vaticination approach using neural networks. By using statistical data from the energy assiduity, these networks directly read changes in energy product and consumption trends. Numerical findings validate the efficacity of this neural network- grounded vaticination system, emphasizing its significance in energy conservation sweats. Predicting energy consumption stands as a pivotal bid in energy conservation enterprise. Support vector retrogression, famed for its efficacity in handlingnon-linear data retrogression challenges, has surfaced as a prominent tool for soothsaying structure energy consumption. Through analysis of literal data, it's apparent that the relationship between lighting energy consumption and its impacting factors is non-linear. |
Keywords | Environmental impacts; resource optimization; energy consumption trends; power stations; energy grids; smart homes; deep neural networks; global economy; energy production; energy consumption; environmental challenges; prediction methods; statistical data; support vector regression; energy conservation efforts.15 |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 6, Issue 3, May-June 2024 |
Published On | 2024-05-16 |
Cite This | Cost-minimization and Implicit Innovative Training for Energy Prediction using Deep Neural Network - S R M TEJESHWAR, B VIJAY GANESH, U G PRADEESHWAR, DEEPIKA - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.20137 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i03.20137 |
Short DOI | https://doi.org/gtvt3f |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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