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Record W2787162757 · doi:10.1109/epec.2017.8286184

Design and implementation of a low cost web server using ESP32 for real-time photovoltaic system monitoring

2017· article· en· W2787162757 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicIoT-based Smart Home Systems
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsLaptopComputer scienceWeb serverMicrocontrollerOperating systemWeb pageWeb APIComputer hardwareThe InternetWorld Wide Web

Abstract

fetched live from OpenAlex

This paper presents a method for applying a web server based on ESP32 to a small photovoltaic (PV) power system to monitor and/or collect the PV and the battery current, voltage data. The designed system uses low-cost sensors, a microcontroller ESP32, Wi-Fi, and an SD-card reader. The ESP32 collects data from sensors. All of the data are saved in a text file on an SD-card, which is connected with ESP32 SPI pins. The text file is saved on the SD card for a week or longer, after which the system deletes all the data and starts saving new data. The web page file is saved on an SD card as well, so the ESP32 is programmed to access the web page by using the Wi-Fi via a laptop, cellphone, or tablet. Moreover, the web page has a link that allows users to download the data text file simply by clicking on the link. This can also be done remotely. The results of the experiments demonstrate that the web server works in real-time and can be effectively used for monitoring small solar energy systems.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.286
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations88
Published2017
Admission routes1
Has abstractyes

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