Enabling decentralized real-time analysis of smart distribution systems using wireless communication
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Wireless communications, distributed intelligence and automated control systems are the key technological components in achieving the goals of the smart grid, e.g. self-healing, optimum operation, and power quality. In this paper, we are proposing a novel approach that utilizes wireless communications to enable decentralized real-time analysis of distribution systems. Each bus (node) in the distribution system has a processing unit that communicates with other relevant nodes in the system. Each processing unit performs a part of the overall analysis, and forwards the results to relevant nodes. The proposed framework has been implemented using GNU-Octave, and the Network Simulator NS-3. GNU-Octave was used to verify the validity, accuracy and speed of the framework. A WiMAX network was used as the communication layer, and NS-3 simulations captured the WiMAX network performance, e.g. average packet delay, average packet delivery ratio, and average convergence times for different number of nodes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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