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Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture

, , , and . Energies, 13 (15): 3873 (2020)
DOI: 10.3390/en13153873

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Using physics-based regularization in Artificial Neural Networks to predict thermochemical energy storage systems, , , and . American Geophysical Union, Fall Meeting 2019, page IN32B-15. Smithsonian Astrophysical Observatory, (2019)Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture, , , and . Energies, 13 (15): 3873 (2020)Readiness of Short-term Load Forecasting Methods for their Deployment on Company Level, , , , and . Proceedings of GSM 2020 : 4th Grid Service Markets Symposium, page 89-103. Lucerne, Hochschule Luzern + European Fuel Cell Forum AG, (2020)