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H. S

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Open access Aug 2026

Joint probabilistic forecasting of electricity and heat demand in residential buildings using LSTM and weather-driven features

A probabilistic forecasting framework designed to jointly predict hourly electricity and heat demand for a residential building using deep learning is presented, based on a Long Short-Term Memory neural network trained using look-back windows of 48 h.

H. S, S. Radhakrishnan · Discover Sustainability · 0 citations