Anomaly usage behavior detection based on multi-source water and electricity consumption information

The dataset, comprising data sourced from SGCC smart meters, is gathered from a multi-meter integration demonstration area in China. It encompasses daily records of electricity and water consumption. This dataset is presented in a single .xlsx file, detailing the daily electricity and water use of 40 users over 367 days and 42 users over 95 days. The file's size is 478kb. Privacy has been safeguarded through anonymization of all data in this dataset. It is particularly useful for research in areas like smart grid optimization, analysis of consumer behavior, and sustainable urban development, offering crucial insights into the energy and water consumption patterns in residential settings.The dataset, comprising data sourced from SGCC smart meters, is gathered from a multi-meter integration demonstration area in China. It encompasses daily records of electricity and water consumption. This dataset is presented in a single .xlsx file, detailing the daily electricity and water use of 40 users over 367 days and 42 users over 95 days. The file's size is 478kb. Privacy has been safeguarded through anonymization of all data in this dataset. It is particularly useful for research in areas like smart grid optimization, analysis of consumer behavior, and sustainable urban development, offering crucial insights into the energy and water consumption patterns in residential settings.