Land Portfolio Managed Decision Support System For Renewable Energy Investments
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
A web-based portfolio management application has been developed that will accelerate the business processes of real estate agents who have difficulty in land portfolio management and marketing in the real estate market, and provides statistical data about the land so that they can produce a marketing strategy, performs solar energy analysis about the land that customers can buy, and makes investment suggestions for renewable energy systems such as PV panels or wind. Thanks to the developed application, land images can be shown to customers as drawings on the web. The aim of the study is to estimate the maximum PV panel power or wind power that the customer can build on the relevant land in the future, and the income that can be obtained from this, depending on the daily, monthly and annual solar radiation or wind energy average, and the investment cost and profit analysis are presented in the form of graphs. Thus, by playing the role of a decision support mechanism, it is possible to direct the customer to the most suitable land according to the investment considered.
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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