37 Forecast-Based Storage Control at Quarter Level
Bibliographic record
Abstract
In future residential quarters, it will no longer be possible to make a clear distinction between the individual sectors. Already today, the energy exchange between the subareas, such as electricity, mobility and heat, takes place smoothly with electrical energy as a connecting factor. Regarding climate change and the associated shift away from fossil fuels, the demand for electrical energy will increase in the future. The example of the project “ZED (Zwickauer Energiewende Demonstrieren/ Demonstrating Zwickau’s Energy Transition)” shows the importance that heat pumps already have today in supplying entire districts. To be able to guarantee the resulting demand for electrical energy, energy storage systems will play an increasingly important role in addition to the expansion of renewable power plants. However, these must be operated intelligently, i.e. forecasting methods are becoming increasingly relevant for the required energy storage control in order to be able to use the storage ideally. In this way, it can be ensured that charging and discharging processes are always carried out when there is either a power demand in the connected grid due to a high consumer load or a power surplus due to a correspondingly high generation. This chapter will outline how such a forecast must be set up and adapted to be used for electrical storage at neighbourhood level.
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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) | 0.001 | 0.001 |
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".