Publication2021
EBN-Net: A Thermodynamical Approach to Power Estimation Using Energy-Based Multi-layer Perceptron Networks
- Affordable and Clean Energy
- Industry, Innovation and Infrastructure
- Thriving and Sustainable Economy
The record
- Type
- Publication
- Date
- 1 January 2021
- Level
- National
- Journal
- Lecture Notes in Electrical Engineering
- Volume
- 728 LNEE
- Pages
- 407-417
- Published
- 1 January 2021
- DOI
- 10.1007/978-981-33-4866-0_50
- Scopus ID
- 85104708713
- ISSN
- 18761100
- Authors
- 3
- Open access
- No
- Citations
- 2
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
7 Ensure access to affordable, reliable, sustainable and modern energy for all
Thermodynamical approach to power estimation at combined cycle power plants using energy-based multi-layer perceptron networks with <5% RMSE for smart grid applications.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Explains neural network mechanisms through thermodynamic principles including Maxwell-Boltzmann distributions and entropy concepts advancing AI interpretability research.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-2 Thriving and Sustainable Economy
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 7 label. Thermodynamical approach to power estimation at combined cycle power plants using energy-based multi-layer perceptron networks with <5% RMSE for smart grid applications.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “EBN-Net: A Thermodynamical Approach to Power Estimation Using Energy-Based Multi-layer Perceptron Networks”. Kortex.
