Adaptive Load Scheduling and Demand Elasticity Modelling: Machine Learning Frameworks for Retail Energy Response Optimisation
Keywords:
adaptive load scheduling, demand elasticity modelling, machine learning frameworks, retail energy response optimisationAbstract
Ensuring an efficient usage of electricity has become a challenging task for retail building operators faced with fluctuating demand and real-time breakpoint prices, which are expected to grow continuously. Under these critical conditions, energy management becomes a relevant topic that building operators could approach considering short-term graphics of energy prices and demand. Demand response strategies can be used to decrease electricity consumption and save on the energy bill.Downloads
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