Electricity Demand Forecasting, Coverage Estimation, and Distribution Planning using Mobile phone Call Detail Record (CDR)
Keywords: Electricity, Big Data, Call Detail Records
Abstract: Electricity serves as a nation's development engine. Energy is a finite resource, and worldwide energy use is rising at a 1.6% yearly rate. The difficulties associated with power storage, generation, and distribution are growing as a result. Understanding and regulating urban energy use is crucial for assisting climate change activities and creating more durable and sustainable cities. This study aims to investigate the potential applications of Call Detail Records (CDR) in forecasting, coverage estimation, and distribution planning. By putting the numerous factors that affect how much electricity is consumed in context and demonstrating how Call Detail Records might be used, we investigated how it might be used in Nigeria.
Submission Category: Machine learning algorithms
Submission Number: 61
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