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Forecasting energy demand for a single household multiple time steps ahead

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Residential-Energy-Forecasting

Forecasting energy demand for a single household multiple time steps ahead. This work was an evaluation and re-implementation of:

Marino, D. L., Amarasinghe, K., & Manic, M. (2016, October). Building energy load forecasting using deep neural networks. In Industrial Electronics Society, IECON 2016-42nd Annual Conference of the IEEE (pp. 7046-7051). IEEE

Energy demand is forecasted in different resolutions using a Seq2Seq LSTM and Data from: Dheeru, D. and Karra Taniskidou, E. (2017). UCI machine learning repository

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Forecasting energy demand for a single household multiple time steps ahead

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