Multi-Objective Energy Management in a Residential Area with a P2G-Based Storage System
Bibliographic record
Abstract
The energy management in the residential sector, as a basic unit of energy consumption, has received extensive attention in recent years. To address this issue, a residential energy management system (REMS) is proposed, with two objectives considered, i.e., minimizing the costs and maximizing comfort-awareness of end-users. In the framework of the REMS, the economic role of a power-to-gas based storage system (P2GSS) is examined under different operating scenarios. The problem is first formulated as a mixed integer nonlinear programming (MINLP) model and then solved by an iterative decomposition method. In the proposed method, each objective is regarded as an independent sub-problem and refined iteratively, until the deviation comes into an acceptable range. Simulation results of a sample system demonstrate the positive role of the P2GSS in scheduling REMS economically and the effectiveness of the proposed method.
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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 | 0.000 | 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 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".