State forecasting in smart distribution grids: a modular approach using CARMA algorithm

Ansprüche an Erzeugung, Verteilung und Verbrauch elektrischer Energie wandeln sich mit der Energiewende fundamental. Energiebezugskosten unflexibler Verbraucher steigen und Erlöse unflexibler Erzeuger sinken. Unternehmen können mit der Vermarktung von Flexibilitäten Kosten senken. Dieser Artikel legt die Notwendigkeit von Flexibilität im Energiesystem und die neuen Vermarktungsoptionen dar. Im vorgestellten Forschungsprojekt FlexChemistry werden Flexibilitätspotenziale der Intrastrukturanlagen eines Chemieparks systematisch untersucht, hinsichtlich ihrer Vermarktung bewertet und aktiviert.

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“…Der Einsatz der Flexibilitätsoptionen kann über dezentrale Netzautomatisierungssysteme, sog. Smart‐Grid‐Systeme, gemanagt werden 29.…”

Section: Technische Herausforderungen In Der Transformation Des Elektunclassified

Notwendigkeit und Vermarktung von Flexibilitätsoptionen im Energiesystem der Zukunft

Zipperling

Dahlmann

Zdrallek

et al. 2021

Chemie Ingenieur Technik

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“…However, the current analysis of student performance is mainly simple performance query, deletion, etc., and a series of behavioral factors related to academic performance have not been excavated and analyzed, such as the impact of students' daily behavior on learning [ 5 ]. However, it is well known that there is a close relationship between student learning behavior and academic performance, so the current role of data mining has not been fully utilized [ 6 ]. In the face of this situation, this article conducts a more in-depth analysis of the application of data mining in the analysis of high-efficiency students' English scores and specifically selects association rules to mine student scores.…”

Section: Introductionmentioning

confidence: 99%

Research on English Achievement Analysis Based on Improved CARMA Algorithm

2022

Computational Intelligence and Neuroscience

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This paper uses data mining technology to analyze students’ English scores. In view of the influence of many factors on students’ English performance, the analysis is realized by using the association rule algorithm. The thesis analyzes and applies students’ English scores based on association rules and mainly does the following work: (1) at present, the problem of the CARMA algorithm is low operating efficiency. The combination of the genetic algorithm’s crossover, mutation, and the CARMA algorithm realizes the fast search of the algorithm. The simulation results show that the operation performance of the algorithm is greatly improved after the crossover and mutation operations in the genetic algorithm are applied to the CARMA algorithm. The simulation results show that the mining accuracy of the improved algorithm is 97.985%, and the mining accuracy before the improvement is 92.221%, indicating that the improved algorithm can improve the accuracy of mining. (2) By comparing the mining time of the improved CARMA algorithm, the traditional CARMA algorithm, the FP-Growth algorithm, and the Apriori algorithm, the results show that when the number is 6,500, the mining efficiency of the improved CARMA algorithm is twice that of the other three algorithms. As the amount of data increases, the effect of improving mining efficiency gradually increases. (3) By using the improved CARMA algorithm to analyze students’ English performance, it is found that the quality of student performance is strongly related to the quality of daily homework, and if it is related to the teacher’s gender, professional title, etc., it is recommended that schools should pay more attention to homework during the teaching process.

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Combined Electricity and Traffic Short-Term Load Forecasting Using Bundled Causality Engine

Cordova

Sriram

Kocatepe³

et al. 2019

IEEE Trans. Intell. Transport. Syst.

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State forecasting in smart distribution grids: a modular approach using CARMA algorithm

Cited by 3 publications

References 9 publications

Notwendigkeit und Vermarktung von Flexibilitätsoptionen im Energiesystem der Zukunft

Notwendigkeit und Vermarktung von Flexibilitätsoptionen im Energiesystem der Zukunft

Research on English Achievement Analysis Based on Improved CARMA Algorithm

Combined Electricity and Traffic Short-Term Load Forecasting Using Bundled Causality Engine

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