Hydrogen and fuel cells can be incorporated into existing and emerging energy and power systems to avoid curtailment of variable renewable sources, such as wind and solar; enable a more optimal capacity utilization of baseload nuclear, natural gas, and other hydrocarbon-based.
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Key EES technologies include Pumped Hydroelectric Storage (PHS), Compressed Air Energy Storage (CAES), Advanced Battery Energy Storage (ABES), Flywheel Energy Storage (FES), Thermal Energy Storage (TES), and Hydrogen Energy Storage (HES).
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Photovoltaic (PV) systems play a crucial role in harnessing solar energy for electricity generation, making them integral to energy-positive buildings.
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This paper proposes a model called X-LSTM-EO, which integrates explainable artificial intelligence (XAI), long short-term memory (LSTM), and equilibrium optimizer (EO) to reliably forecast solar power generation.
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