Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Electricity bills in Kenya have been an issue of concern to electricity consumers in the recent past. Highly volatile oil prices and unprecedented weather fluctuations have acted as significant shocks for electricity generation, influencing electricity pricing. This study sought to investigate the contribution of diversity, spare capacity, and system structure as metrics in determining energy resilience. We contend that electricity prices represent the underlying fleet structure's ability to adjust to change and, therefore, can be used to predict energy resilience. Resilience metrics were determined using electricity generation data, electricity sales, electricity installed capacities, and electricity imports, while electricity prices represented the response variable. A regression model was fitted between the response variable and resilience metrics. Diversity, spare capacity, and import metrics play a significant role in predicting electricity prices. However, the diversity metric's role depends on the portfolio mix and requires further comparative empirical evidence.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7424220 | PMC |
http://dx.doi.org/10.1016/j.heliyon.2020.e04626 | DOI Listing |
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