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Record W4389977733 · doi:10.1515/9783110777567-037

37 Forecast-Based Storage Control at Quarter Level

2023· book-chapter· en· W4389977733 on OpenAlexaboutno aff
Lukas Wechselberger, Benny Gottschalk, Mirko Bodach

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicAdvanced Manufacturing and Logistics Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Control (management)Computer scienceHistoryArtificial intelligence

Abstract

fetched live from OpenAlex

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.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.668
Threshold uncertainty score1.000

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)0.0010.001

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.

Opus teacher head0.032
GPT teacher head0.205
Teacher spread0.173 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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