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
Nowadays, the data can be considered an asset when properly managed. An entity with the right tool t...
The use of distributed generation and demand-response (DR) programs is needed for improving business...
The increasing popularity of smart meters deployed at customer sites provides a vital opportunity fo...
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 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...
AbstractThis paper focuses on demand response in a smart grid scope using a fuzzy subtractive cluste...
This paper focuses on demand response in a smart grid scope using a fuzzy subtractive clustering tec...
This paper proposes a novel demand response model using a fuzzy subtractive cluster approach. The mo...
Part 10: Energy - Smart GridsInternational audienceThis paper focuses on computational models develo...
With the introduction of the Smart Grid context in the current network, it will be necessary to impr...
This paper introduces a new clustering approach for multi-customer intelligent demand response for c...
Abstract --The requirements of distribution grids are increasing. In a smart grid, critical states a...
Load profiling refers to a procedure that leads to the formulation of daily load curves and consumer...
Nowadays, the data can be considered an asset when properly managed. An entity with the right tool t...
The use of distributed generation and demand-response (DR) programs is needed for improving business...
The increasing popularity of smart meters deployed at customer sites provides a vital opportunity fo...
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 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...
AbstractThis paper focuses on demand response in a smart grid scope using a fuzzy subtractive cluste...
This paper focuses on demand response in a smart grid scope using a fuzzy subtractive clustering tec...
This paper proposes a novel demand response model using a fuzzy subtractive cluster approach. The mo...
Part 10: Energy - Smart GridsInternational audienceThis paper focuses on computational models develo...
With the introduction of the Smart Grid context in the current network, it will be necessary to impr...
This paper introduces a new clustering approach for multi-customer intelligent demand response for c...
Abstract --The requirements of distribution grids are increasing. In a smart grid, critical states a...
Load profiling refers to a procedure that leads to the formulation of daily load curves and consumer...
Nowadays, the data can be considered an asset when properly managed. An entity with the right tool t...
The use of distributed generation and demand-response (DR) programs is needed for improving business...
The increasing popularity of smart meters deployed at customer sites provides a vital opportunity fo...