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Abstract

Smart energy meters allow the monitoring of a residence’s total energy consumption as well as energy consumption of submeters and individual devices. The energy values obtained can be used to analyze and understand the trends in consumption values which saves energy by providing early assessment on the energy consumption, and this can even be used to allow the consumers to play a task operational of the grid by reducing or shifting their energy consumption during high demand period. But other than reducing energy consumption costs by early assessment by responding to the demands, smart energy meters can be used to tackle several other challenges. Elderly people have a will to remain within the comfort of their own homes and live independently. Inconsolably, they may suffer from generic age-related diseases, physical deterioration, and are vulnerable to diseases which may reduce their ability to perform tasks in lifestyle. Albeit they are healthy and not affected, children and their caretakers are often worried about the well-being of the elderly. Non-intrusive load monitoring (NILM) can help mitigate this problem and assist the elderly to extend their quality of life.

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Correspondence to Sagi Harshad Varma .

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Akarsh, C., Varma, S.H., Venkateswara Rao, P. (2022). Time Series Analysis Using LSTM for Elderly Care Application. In: Reddy, A.B., Kiranmayee, B., Mukkamala, R.R., Srujan Raju, K. (eds) Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-7389-4_46

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