Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308338166> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4308338166 endingPage "141" @default.
- W4308338166 startingPage "130" @default.
- W4308338166 abstract "Background: Understanding customers’ electricity consumption patterns is essential for developing predictive analytics, which is needed for effective supply and demand management. Objective: This study aims to understand customers’ segmentation and consumption behaviour using a hybrid approach combining the K-Means clustering, customer lifetime value concept, and analytic hierarchy process. Methods: This study uses more than 16 million records of customers’ electricity consumption data from January 2019 to December 2020. The K-Means clustering identifies the initial market segments. The results were then evaluated and validated using the customer lifetime value concept and analytical hierarchy process. Results: Three customer segments were identified. Segment 1 has 282 business customers with a total capacity of 938,837 kWh, peak load usage of 27,827 kWh, and non-peak load usage of 115,194 kWh. Segment 2 has 508,615 business customers with a total capacity of 4,260 kWh, a peak load of 35 kWh, and a non-peak load of 544 kWh. Segment 3 has 37 business customers with a total capacity of 2,226,351 kWh, a peak load of 123.297 kWh, and a non-peak load of 390,803. Conclusion: A business strategy that could be taken is to base customer relationship management (CRM) on the three-customer segmentation. For the least profitable segment, aside from retail account marketing, a continuous partnership program is needed to increase electricity consumption during the non-peak period. For the highly and moderately profitable segments, a premium business-to-business approach can be applied to accommodate their increasing energy consumption without excessive electricity use in the peak period. Special account executives need to be deployed to handle these customers." @default.
- W4308338166 created "2022-11-11" @default.
- W4308338166 creator A5037771638 @default.
- W4308338166 creator A5060881955 @default.
- W4308338166 date "2022-10-29" @default.
- W4308338166 modified "2023-09-26" @default.
- W4308338166 title "Segmentation using Customers Lifetime Value: Hybrid K-means Clustering and Analytic Hierarchy Process" @default.
- W4308338166 doi "https://doi.org/10.20473/jisebi.8.2.130-141" @default.
- W4308338166 hasPublicationYear "2022" @default.
- W4308338166 type Work @default.
- W4308338166 citedByCount "1" @default.
- W4308338166 countsByYear W43083381662022 @default.
- W4308338166 crossrefType "journal-article" @default.
- W4308338166 hasAuthorship W4308338166A5037771638 @default.
- W4308338166 hasAuthorship W4308338166A5060881955 @default.
- W4308338166 hasBestOaLocation W43083381661 @default.
- W4308338166 hasConcept C101276457 @default.
- W4308338166 hasConcept C119599485 @default.
- W4308338166 hasConcept C119857082 @default.
- W4308338166 hasConcept C125308379 @default.
- W4308338166 hasConcept C127413603 @default.
- W4308338166 hasConcept C130721881 @default.
- W4308338166 hasConcept C140781008 @default.
- W4308338166 hasConcept C144024400 @default.
- W4308338166 hasConcept C144133560 @default.
- W4308338166 hasConcept C162324750 @default.
- W4308338166 hasConcept C162853370 @default.
- W4308338166 hasConcept C206658404 @default.
- W4308338166 hasConcept C21547014 @default.
- W4308338166 hasConcept C2777276756 @default.
- W4308338166 hasConcept C2780378061 @default.
- W4308338166 hasConcept C30772137 @default.
- W4308338166 hasConcept C36289849 @default.
- W4308338166 hasConcept C41008148 @default.
- W4308338166 hasConcept C42475967 @default.
- W4308338166 hasConcept C53100981 @default.
- W4308338166 hasConcept C73555534 @default.
- W4308338166 hasConcept C87345402 @default.
- W4308338166 hasConceptScore W4308338166C101276457 @default.
- W4308338166 hasConceptScore W4308338166C119599485 @default.
- W4308338166 hasConceptScore W4308338166C119857082 @default.
- W4308338166 hasConceptScore W4308338166C125308379 @default.
- W4308338166 hasConceptScore W4308338166C127413603 @default.
- W4308338166 hasConceptScore W4308338166C130721881 @default.
- W4308338166 hasConceptScore W4308338166C140781008 @default.
- W4308338166 hasConceptScore W4308338166C144024400 @default.
- W4308338166 hasConceptScore W4308338166C144133560 @default.
- W4308338166 hasConceptScore W4308338166C162324750 @default.
- W4308338166 hasConceptScore W4308338166C162853370 @default.
- W4308338166 hasConceptScore W4308338166C206658404 @default.
- W4308338166 hasConceptScore W4308338166C21547014 @default.
- W4308338166 hasConceptScore W4308338166C2777276756 @default.
- W4308338166 hasConceptScore W4308338166C2780378061 @default.
- W4308338166 hasConceptScore W4308338166C30772137 @default.
- W4308338166 hasConceptScore W4308338166C36289849 @default.
- W4308338166 hasConceptScore W4308338166C41008148 @default.
- W4308338166 hasConceptScore W4308338166C42475967 @default.
- W4308338166 hasConceptScore W4308338166C53100981 @default.
- W4308338166 hasConceptScore W4308338166C73555534 @default.
- W4308338166 hasConceptScore W4308338166C87345402 @default.
- W4308338166 hasIssue "2" @default.
- W4308338166 hasLocation W43083381661 @default.
- W4308338166 hasOpenAccess W4308338166 @default.
- W4308338166 hasPrimaryLocation W43083381661 @default.
- W4308338166 hasRelatedWork W1977667552 @default.
- W4308338166 hasRelatedWork W2009655125 @default.
- W4308338166 hasRelatedWork W2020038391 @default.
- W4308338166 hasRelatedWork W2121586327 @default.
- W4308338166 hasRelatedWork W2280402583 @default.
- W4308338166 hasRelatedWork W2365966908 @default.
- W4308338166 hasRelatedWork W2366179766 @default.
- W4308338166 hasRelatedWork W3122978514 @default.
- W4308338166 hasRelatedWork W3677001 @default.
- W4308338166 hasRelatedWork W3133428400 @default.
- W4308338166 hasVolume "8" @default.
- W4308338166 isParatext "false" @default.
- W4308338166 isRetracted "false" @default.
- W4308338166 workType "article" @default.