Add to ORKGThis paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits
With the introduction of the Smart Grid context in the current network, it will be necessary to impr...
The use of distributed generation and demand-response (DR) programs is needed for improving business...
A new grid topology has benefitted to the consumers and also utility indirectly, which is called mic...
This paper focus on a demand response model analysis in a smart grid context considering a contingen...
This paper focus on a demand response model analysis in a smart grid context considering a contingen...
This paper proposes a novel demand response model using a fuzzy subtractive cluster approach. The mo...
AbstractThis paper focuses on demand response in a smart grid scope using a fuzzy subtractive cluste...
This paper focuses on an analysis of demand response in a smart grid context, presenting the model c...
This paper focuses on demand response in a smart grid scope using a fuzzy subtractive clustering tec...
This paper focuses on demand response in a smart grid scope using a fuzzy subtractive clustering tec...
This paper focuses on computational models development and its applications on demand response, with...
This paper introduces a new clustering approach for multi-customer intelligent demand response for c...
Load profiling refers to a procedure that leads to the formulation of daily load curves and consumer...
The present study proposes clustering techniques for designing demand response (DR) programs for com...
Demand response is an important demand-side resource that allows consumers to consume less electrici...
With the introduction of the Smart Grid context in the current network, it will be necessary to impr...
The use of distributed generation and demand-response (DR) programs is needed for improving business...
A new grid topology has benefitted to the consumers and also utility indirectly, which is called mic...
This paper focus on a demand response model analysis in a smart grid context considering a contingen...
This paper focus on a demand response model analysis in a smart grid context considering a contingen...
This paper proposes a novel demand response model using a fuzzy subtractive cluster approach. The mo...
AbstractThis paper focuses on demand response in a smart grid scope using a fuzzy subtractive cluste...
This paper focuses on an analysis of demand response in a smart grid context, presenting the model c...
This paper focuses on demand response in a smart grid scope using a fuzzy subtractive clustering tec...
This paper focuses on demand response in a smart grid scope using a fuzzy subtractive clustering tec...
This paper focuses on computational models development and its applications on demand response, with...
This paper introduces a new clustering approach for multi-customer intelligent demand response for c...
Load profiling refers to a procedure that leads to the formulation of daily load curves and consumer...
The present study proposes clustering techniques for designing demand response (DR) programs for com...
Demand response is an important demand-side resource that allows consumers to consume less electrici...
With the introduction of the Smart Grid context in the current network, it will be necessary to impr...
The use of distributed generation and demand-response (DR) programs is needed for improving business...
A new grid topology has benefitted to the consumers and also utility indirectly, which is called mic...