Study on Diagnosis of Daily Electricity Consumption in Hotel Facilities Based on Amalgamation of Gaussian Process Regression and Teaching Learning Based Optimizer
The increased usage of energy has negative environmental consequences, such as increased greenhouse gas emissions, global warming, and rapid climate change. This study intends to develop machine learning models for predicting hotel electricity use in an attempt to address this
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