ArticleScientific reports2025
Competitive evaluation and multi-stage planning of park integrated energy systems.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Dynamic modeling and adaptive variable constraint optimization for integrated energy systems based on double-loop framework.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Optimal planning for the park integrated energy system (PIES) is essential for energy efficiency improvement and carbon neutrality. A reasonable evaluation method is the key to guide PIES planning. However, indicators for the PIES planning schemes are various with high penetration of renewable energy, large carbon emissions and multiple energy forms coupling, which brings challenges to find out the benchmark planning scheme for PIES development. Herein, we extend a competitive evaluation method that considers the aspects of energy, economy, environment, reliability and greening development level for PIES with different energy planning trends. We formulate a multi-stage planning model for PIES dynamic development aiming at investment and operation cost minimization. We set a group of comparable PIESs with different energy planning trends to evaluate and determine the benchmark PIES to motivate the others. The competitiveness of our evaluation method is reflected in that the benchmark is determined by the competition of different PIESs and it may change through multi-stage planning. A practical PIES with eight functional areas is adopted for competitive evaluation in multi-criteria over multi-stage planning optimization, and their pros and cons are evaluated and compared. By comparing the evaluation efficiency, the benchmark of PIES planning can be dynamically adjusted.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.