Design of Cloud Computing-Based Control Algorithm for Hybrid Power System in Smart Grid Applications
Why this work is in the frame
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Bibliographic record
Abstract
Hybrid renewable energy (HRE) models are those that have two or more renewable sources connected together with some conventional sources to serve the demand load. The objective of this article is to present a cloud-based HRE model in which a Legendre wavelet embedded neurofuzzy (NF) indirect adaptive (LNFIA) maximum power point tracking (MPPT) control of photovoltaic (PV) system is implemented for the extraction of maximum power and a Hermite wavelet-based NF indirect adaptive control (HNFIA) of solid oxide fuel cells (SOFCs) for obtaining a swift response in a grid-connected HRE system. The implementation of these two smart controls for PV systems and SOFC maintains the tradeoff among power generation and load demands. The proposed HRE model when connected with cloud can be implemented for large-scale applications. An extensive experimental analysis is carried out to ensure the effectiveness of the proposed model. The result analysis verified that the proposed model shows an effective performance.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it