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Cited by 10 publications
(5 citation statements)
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“…Minimizing electricity cost [45], [57], [125], [148], [149], [150], [151], [152], energy consumption [57], [63], Peak to average ratio (PAR) [57], [150], and maximizing social welfare [153] and reducing environmental pollution [154] are common goals in the monitoring and control aspects of customers' loads. These goals must be achieved while taking into account the tastes of the consumers.…”
Section: ) Load Scheduling and Control At The Customer Levelmentioning
confidence: 99%
“…Minimizing electricity cost [45], [57], [125], [148], [149], [150], [151], [152], energy consumption [57], [63], Peak to average ratio (PAR) [57], [150], and maximizing social welfare [153] and reducing environmental pollution [154] are common goals in the monitoring and control aspects of customers' loads. These goals must be achieved while taking into account the tastes of the consumers.…”
Section: ) Load Scheduling and Control At The Customer Levelmentioning
confidence: 99%
“…Note that M is a large number greater than or equal to B nm (θ n max − θ m max ). Meanwhile, we also added a generalised upper bound constraint (see (13)), which can limit the number of open lines in the optimal network. In addition, the integrated configuration of the grid is also considered as a technical constraint.…”
Section: Ts Constraintsmentioning
confidence: 99%
“…While DR is considered as a potential solution to increase customers effective participation with the independent system operator (ISO), i.e. in some circumstances, DR programs impede the expensive generators’ production and improve social welfare as well [13]. It is noteworthy to point that the mentioned facilities are highly recommended for wind power uncertainty mitigation in recent studies.…”
Section: Introductionmentioning
confidence: 99%
“…[11] presents a demand response model using the concept of demand price elasticity. In [12]- [14], the impact of demand response on total energy cost and market energy pricing has been studied. In [15]- [17], multi-objective optimization of microgrids considering economic, environmental and demand response issues has been evaluated.…”
Section: Introductionmentioning
confidence: 99%