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A Review of Renewable Energy Development in PJM

2013· article· en· W2039674325 on OpenAlexvenueno aff
Zetong Fan

Bibliographic record

VenueJournal of Technology Innovations in Renewable Energy · 2013
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsRenewable energyEnvironmental economicsWind powerStakeholderGridBusinessSmart gridIntermittent energy sourceDemand responseEngineeringDistributed generationElectricityElectrical engineeringEconomics

Abstract

fetched live from OpenAlex

As one of the world’s largest grid operators, PJM interconnection in the United State leads and promotes renewable energy and greener grid. The growth of solar, wind and other types are significant in recent years, as well as the continuing emergence of energy storage and energy efficiency technologies. All of this new growth is supported by adaptive market rules, stakeholder process, partnerships with industry groups and collaboration with members, state and federal agencies and commissions. With the emerging Smart Grid technologies, the U.S. electrical grid will evolve into a highly advanced, automated and interconnected network. Taking full advantage of renewable sources while dealing with the reliability challenges of the new resources will require a significant change in many aspects in power industry. The overview of the efforts to promote renovation and the ongoing and future renewable energy in PJM footprint is presented in this paper. The current state of art renewable energy development in operation and planning will also be discussed. Some renewable related projects such as on-going renewable integration studies, energy storage batteries and demand response will shed the light of the future trend.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.834
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.201
Teacher spread0.195 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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
Published2013
Admission routes1
Has abstractyes

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