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• W4361794195 abstract "Pricing strategies can be utilized to manage energy demand-supply imbalance and power distribution network congestion. With the application of smart meter technologies, the real-time consumption behavior of individual households can be studied to enhance the effectiveness of the formulated pricing strategy. Hence, in this paper, a customized pricing strategy based on non-intrusive load monitoring (NILM) techniques is proposed from the perspective of the energy retailer, aiming to incentivize households to change their load consumption patterns. First, the real-time occupancy state of each household is detected to identify the ability of the household to respond to the retail price. Second, the occupancy-aided factorial hidden Markov model (FHMM) is developed to facilitate the retailer to incorporate the real-time consumption behavior of households into pricing strategy formulation. Third, the real-time price elasticity of the consumption of each appliance within each household is mathematically modeled based on the real-time hidden state of each appliance. Numerical results indicate that the proposed pricing strategy is effective in managing the load consumption of households and assisting the retailer in increasing profitability." @default.
• W4361794195 created "2023-04-05" @default.
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• W4361794195 date "2023-06-01" @default.
• W4361794195 modified "2023-10-07" @default.
• W4361794195 title "Customized Pricing Strategy for Households Based on Occupancy-Aided Load Disaggregation" @default.
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• W4361794195 doi "https://doi.org/10.1109/tempr.2023.3263193" @default.
• W4361794195 hasPublicationYear "2023" @default.
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