The heterogeneity of domestic loads presents Distribution Network Operators with operational uncertainties which may become problematic as generation capacity shrinks and network infrastructure ages. High resolution meter advances recorded by increasingly ubiquitous Smart Meters can be seen as representing base loads along with aggregations of multiple domestic appliances – in this letter, a Bayesian formulation of the finite mixture probability distribution is employed to enumerate and capture generalizations of these, from which compact representations of domestic load profiles can be formed
The electricity market in the UK is undergoing dramatic changes and requires a transformation of exi...
The availability of increasing amounts of data to electricity utilities through the implementation o...
This summary presents the key messages from the final analysis of the baseline domestic profile cont...
The heterogeneity of domestic loads presents Distribution Network Operators with operational uncerta...
It is generally accepted that if dynamic electricity pricing tariffs were to be introduced, their ef...
This thesis aims towards an improved statistical understanding of distribution feeders, an improved ...
A load estimation algorithm based on kk-means cluster analysis was developed. The algorithm applies ...
AbstractA load estimation algorithm based on k-means cluster analysis was developed. The algorithm a...
This paper assesses the feasibility of determining key household characteristics based on temporal l...
Smart meter roll-outs provide easy access to granular meter measurements, enabling advanced energy s...
AbstractThis paper assesses the feasibility of determining key household characteristics based on te...
This paper investigates a method of classifying domestic electricity load profiles through Self Orga...
Simulations with realistic network models and electric loads are essential for developing smart grid...
As Distributed Generation penetrates Low Voltage networks in greater quantities, the behaviour of th...
With strong policy support globally, it is expected that the total amount of smart energy meters ins...
The electricity market in the UK is undergoing dramatic changes and requires a transformation of exi...
The availability of increasing amounts of data to electricity utilities through the implementation o...
This summary presents the key messages from the final analysis of the baseline domestic profile cont...
The heterogeneity of domestic loads presents Distribution Network Operators with operational uncerta...
It is generally accepted that if dynamic electricity pricing tariffs were to be introduced, their ef...
This thesis aims towards an improved statistical understanding of distribution feeders, an improved ...
A load estimation algorithm based on kk-means cluster analysis was developed. The algorithm applies ...
AbstractA load estimation algorithm based on k-means cluster analysis was developed. The algorithm a...
This paper assesses the feasibility of determining key household characteristics based on temporal l...
Smart meter roll-outs provide easy access to granular meter measurements, enabling advanced energy s...
AbstractThis paper assesses the feasibility of determining key household characteristics based on te...
This paper investigates a method of classifying domestic electricity load profiles through Self Orga...
Simulations with realistic network models and electric loads are essential for developing smart grid...
As Distributed Generation penetrates Low Voltage networks in greater quantities, the behaviour of th...
With strong policy support globally, it is expected that the total amount of smart energy meters ins...
The electricity market in the UK is undergoing dramatic changes and requires a transformation of exi...
The availability of increasing amounts of data to electricity utilities through the implementation o...
This summary presents the key messages from the final analysis of the baseline domestic profile cont...