Calculating the Cost of Co2e Emitted to Generate the Required Electricity: Case Study of Lecture Rooms in the Faculty of Engineering- Universiti Putra Malaysia.
Bibliographic record
Abstract
Malaysia is endowed with abundant supplies of non-renewable energy resources, especially oil and gas. However, its current oil and gas reserves are expected to be depleted within the next few years. If new oil fields are not found, Malaysia will have its oil depleted around 2030.Malaysia has actively participated and involved in key conventions regarding environment and sustainable development, such as Montreal Protocol and Kyoto Protocol. University Putra Malaysia (UPM) as one of the largest universities in Malaysia should try to make its energy consumption as efficient as possible and Faculty of Engineering may be the pioneer in this regard. As the result of this study we can see that only for generating the required electricity for the eight lecture rooms at faculty of engineering about RM 45 per day is the cost of Co2e emissions. In this study authors will calculate the cost of Co2e Emitted to Generate the Required Electricity for the Lecture Rooms in the Faculty of Engineering of Universiti Putra Malaysia.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".