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Demand Flexibility Estimation Based on Habitual Behaviour and Motif Detection

Pavlidis,George; Tsolakis; Dimosthenis; Tzovaras

Nowadays the demand for energy is becoming higher and higher, and as the share of power supply from renewable sources of energy (RES) begins to rise, exacerbating the problem of load balancing, the need for smart grid management is becoming more urgent. One of such is the demand response technique (DR), which allows operators to make a better distribution of power energy by reducing or shifting electricity usage, thereby improving the overall grid performance and simultaneously rewarding consumers, who play one of the most significant roles at DR

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