Randomized trial shows the impact of solar radiation forecasting methods on energy self-sufficiency in zero energy buildings, indicating improved performance.
Key Points
This research aims to evaluate how different solar radiation forecasting methods affect energy self-sufficiency and electricity costs in buildings with energy storage.
Examined open-loop forecasting and a hybrid model combining CNN and LSTM.
Utilized Mixed-Integer Linear Programming for optimization calculations.
Applied advanced optimization algorithms for scheduling energy storage and thermal loads.
The cluster-hybrid approach achieved the highest prediction accuracy for solar radiation.
Optimal operation schedules led to enhanced performance of energy storage systems.
Significant reduction in purchased electricity costs was observed.