GLORIA

GEOMAR Library Ocean Research Information Access

Ihre E-Mail wurde erfolgreich gesendet. Bitte prüfen Sie Ihren Maileingang.

Leider ist ein Fehler beim E-Mail-Versand aufgetreten. Bitte versuchen Sie es erneut.

Vorgang fortführen?

Exportieren
  • 1
    In: 網際網路技術學刊, Angle Publishing Co., Ltd., Vol. 24, No. 7 ( 2023-12), p. 1429-1436
    Kurzfassung: 〈 p 〉 Load scheduling plays a vital role in the home energy management systems. The main objective of this load scheduling is to balance the power demand and supply power without degrading the performance of the loads and consumers tolerance. Though many research works concentrate on load scheduling, very few works concentrated on real time scenario. On the other hand, research work concentrated on optimal load scheduling through fuzzy logic requires incorporation of fuzzy based system in either simulated or real-time home energy management system. Hence, the proposal aims to schedule the loads in a simulated home energy management system through fuzzy logic controller using MATLAB Simscape with required subsystems. The proposed simulated environment considers four different resistive loads. Intelligent scheduling is aimed to achieve efficient load scheduling. A fuzzy controller has three inputs namely integrated source, state of charge of battery, and power demand whereas probability of scheduling is considered as output. The efficiency of the proposed fuzzy-based load scheduling scheme is evaluated under various load conditions for different sub-systems with varying input power. The results exhibit the efficacy of the proposed scheme. 〈 /p 〉 〈 p 〉 & nbsp; 〈 /p 〉
    Materialart: Online-Ressource
    ISSN: 1607-9264 , 1607-9264
    Originaltitel: Empirical Validation of Fuzzy Logic Based Predictive Load Scheduling in Mimic Home Energy Management System
    Sprache: Unbekannt
    Verlag: Angle Publishing Co., Ltd.
    Publikationsdatum: 2023
    ZDB Id: 2464390-7
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
  • 2
    Online-Ressource
    Online-Ressource
    Sciencedomain International ; 2023
    In:  Asian Journal of Agricultural Extension, Economics & Sociology Vol. 41, No. 10 ( 2023-09-04), p. 175-189
    In: Asian Journal of Agricultural Extension, Economics & Sociology, Sciencedomain International, Vol. 41, No. 10 ( 2023-09-04), p. 175-189
    Kurzfassung: This study conducted in 2022 across the Sedapatti, Thirumangalam, and Usilampatti Blocks of Madurai District in Tamil Nadu, aimed to explore the Livelihood Index among Millet Farmers associated with Farmers Producer Organizations (FPOs). Employing a sample size of 120 respondents through a proportionate random selection procedure, data collection was facilitated via structured personal interviews. The study unveiled that a majority of respondents (68.33%) exhibited a medium level of livelihood, characterized by access to all five capitals - Natural Capital, Physical Capital, Human Capital, Social Capital, and Financial Capital. Moreover, 19.16% reported a high level of livelihood, while 12.05% experienced a low level, This distribution underscores the varying degrees of resource accessibility among the surveyed individuals, shedding light on the diversity of livelihood conditions within the studied population. The study's findings emphasize that the elevated livelihoods of millet farmers and members of Farmers Producer Organizations (FPOs) are strongly linked to their access to natural capital resources. It becomes evident that there is a notable requirement for improvement, particularly concerning financial capital, followed by social capital and human capital. The enhancement of these aspects holds the potential to empower respondents to efficiently harness the available capitals, thus fostering sustainable livelihoods. This suggests that strategic efforts towards bolstering financial resources, social networks, and individual capabilities are key to optimizing livelihood outcomes in the context of millet farming and FPO engagement.
    Materialart: Online-Ressource
    ISSN: 2320-7027
    Sprache: Unbekannt
    Verlag: Sciencedomain International
    Publikationsdatum: 2023
    Standort Signatur Einschränkungen Verfügbarkeit
    BibTip Andere fanden auch interessant ...
Schließen ⊗
Diese Webseite nutzt Cookies und das Analyse-Tool Matomo. Weitere Informationen finden Sie hier...