Server Monitoring and Priority based Automatic Load Shedding Algorithm (SEMPALS)

Bhattacherjee, Tuneer; Saha, Anish Kumar; Ramalingam, S.; Shanmugam, Prabhakar Kathikeyan; Padmanaban, Sanjeevikumar

doi:10.1109/tencon.2019.8929335

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…It examines cause-effect relationships of set of circumstances. Through this design, one is able to observe how the independent variable affects the dependent variable (Bhattacherjee, 2019).…”

Section: Methodsmentioning

confidence: 99%

Socio-Economic Drivers of Agroforestry Practices in Kaiti Watershed, Makueni County, Kenya

Ngila,

Kweyu,

Mbuthia

2024

East Afr. j. for. agrofor.

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Forests and trees are essential resources for sustainable provision of goods and services. However, trees have not only been depleted in reserved forests but also on agricultural lands. Several measures have been formulated to improve forest cover in Kenya and one of such strategies is agroforestry. This study aimed to examine agroforestry practices, tree density on farms and determine the relationship between socio-economic characteristics of households and tree density on farms in Kaiti watershed, Makueni County, Kenya. Quadrats were used to determine tree density and tree species diversity on farms while questionnaires were used to record socio-economic characteristics of households. Data files were prepared in the Microsoft Excel and SPSS version 20 software where descriptive and inferential statistics were used. The study found 8 agroforestry practices. The results of One-Way ANOVA for both Shannon Diversity Index and Simpsons’ Index of Diversity showed significant difference in species diversity in Kaiti watershed with p-value of 0.00023 and 0.00012, respectively. The mean of tree density was 104.5 trees per acre where 54% of farms had less than 40 trees per acre while 46% of farms had more than 40 trees per acre. Further, the study found significant relationship between socio-economic characteristics of households and tree density on farms. Household income was the most significant with p-value of 0.000. The study recommends sensitization of farmers about importance of trees and suitable tree species for growing in arid and semi-arid areas. Further, supply of certified seedlings close to farmers and at affordable prices would improve tree species diversity and tree density on farms. There is also need for private land ownership for households to promote sense of ownership of trees

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Section: Methodsmentioning

confidence: 99%

Socio-Economic Drivers of Agroforestry Practices in Kaiti Watershed, Makueni County, Kenya

Ngila,

Kweyu,

Mbuthia

2024

East Afr. j. for. agrofor.

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“…The CS collects the remaining unallocated power capacity after optimisation at each K j and redistributes them to appliances nominated by load controllers, where (17) is the objective function:…”

Section: Step 6: Central Station's Optimisationmentioning

confidence: 99%

“…These papers are feeder‐level LS optimisation which can be made finer into a consumer appliance‐level LS to maximise the available power utilisation and avoid too much LS. The study of Bhattacherjee et al [17] explores the possibility of residential‐based LS with the use of smart‐meters, single‐board computers, and a monitoring server to implement an efficient LS. Sigrist [18] and Yao et al [19] proposed a residential‐level LS to minimise the load losses by detecting frequency mismatch which also considers the rate of change of frequency.…”

Section: Introductionmentioning

confidence: 99%