Lithium-ion battery aging dataset based on electric vehicle real-driving profiles

This paper provides a dataset from a 23-month study on lithium-ion battery cells for electric vehicles (EVs), conducted at Stanford University. The batteries were tested under real-world driving conditions and charged at different rates. Ten cells were monitored in a temperature-controlled setting, with regular assessments of how they aged over time. These assessments included tests on battery capacity and performance, offering insights into how the batteries degrade during use. The data is valuable for improving battery management strategies and enhancing the performance and lifespan of EV batteries, contributing to the future development of electric vehicle technology

Pakistan Residential Electricity Consumption Data Set (PRECON)

Buildings in Pakistan consume over 50% of the electricity, making it important to understand how occupants use energy for improved efficiency. However, there are limited datasets from developing countries, especially in South Asian countries including Pakistan, that capture residential electricity consumption behaviour. This paper introduces the PRECON dataset, collected over one year from 42 homes with diverse demographics. The data covers whole-house consumption, high-powered devices, and key areas within the homes. It was collected on basis of research conducted, and smart meters installed. This dataset can help utility companies and policymakers improve energy generation, manage demand, and boost energy efficiency through data-driven decisions. The data from this data set can be used for assessment of consumer behaviour in North India as well.