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- W4320061224 abstract "High penetration of renewable energy is fundamental to the sustainable development of the electricity grid. It offers great environmental, economic, and social benefits. However, due to the intermittent nature of renewable energy resources, maintaining the supply-demand balance will be a key challenge. Demand-Side Management (DSM) is a prominent solution. Identifying the best DSM policy to adopt is not an easy task. Thus, awareness of consumer behavior and smart grid applications is necessary. This may be achieved through load profiling and load clustering. In this paper, we analyze residential consumer behavior in Qatar using unpublished smart meter data to understand the relationship between electricity usage and weather patterns and to be able to differentiate between paying and non-paying customers. Our study uses a sample size of 20 customers, 10 paying and 10 non-paying. First, the recent advances in load profiling and load clustering are reviewed. Then, we identify the residential demand trends in Qatar. The study also investigates the challenges of applying DSM techniques in the region and suggests policy recommendations. Additionally, we discuss possible future research directions in load profiling and load clustering." @default.
- W4320061224 created "2023-02-12" @default.
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- W4320061224 date "2022-11-01" @default.
- W4320061224 modified "2023-10-02" @default.
- W4320061224 title "Investigating Demand-Side Management (DSM) Opportunities Using Load Profiling: The Case of Qatar" @default.
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- W4320061224 doi "https://doi.org/10.1109/isgtasia54193.2022.10003591" @default.
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