The paper comprises a detailed analysis of the error ranges of two commonly proposed load estimation methods for household loads, based on statistics. Firstly, a household load profile model is built taking individual user preference into account. To analyze the error range, it is divided into system error (representing proportion factors) and random error (representing the diversity of stochastic loads and measurement inaccuracies). For both estimation methods, two kinds of bounds are used to evaluate the error range, with central limit theorem. Finally, comparisons between different errors are made using field data from a Dutch utility
Approximately 27% of the European energy consumption is caused by the domestic sector, where 19% oft...
In this paper, we describe the development, implementation and application of a novel mathematical p...
Electrical distribution systems are usually poorly monitored networks with few measurement devices i...
The paper comprises a detailed analysis of the error ranges of two commonly proposed load estimation...
The paper presents a probabilistic approach to evaluate the errors due to measurement timescale in m...
The world is going through an energy transition towards decentralized electricity generation like ph...
Abstract—In this paper a top-down approach to generating load profiles of end-consumers is described...
The design of reliable and sustainable rural electrification systems relies on accurate prediction o...
Renewable energy sources become more and more popular among residential electricity customers in Ger...
The topics introduced in this thesis are: the Finnish load research project, a simple form customer ...
In this paper, a model is presented that generates electricity load profiles for individual German h...
Transition from fossil fuels to sustainable sources of energy like wind and solar is the need of the...
A major issue in modelling the electrical load of residential building is reproducing the variabilit...
The ongoing energy transition introduces new load and generation units like photovoltaic generation ...
A major issue in modelling the electrical load of residential building is reproducing the variabilit...
Approximately 27% of the European energy consumption is caused by the domestic sector, where 19% oft...
In this paper, we describe the development, implementation and application of a novel mathematical p...
Electrical distribution systems are usually poorly monitored networks with few measurement devices i...
The paper comprises a detailed analysis of the error ranges of two commonly proposed load estimation...
The paper presents a probabilistic approach to evaluate the errors due to measurement timescale in m...
The world is going through an energy transition towards decentralized electricity generation like ph...
Abstract—In this paper a top-down approach to generating load profiles of end-consumers is described...
The design of reliable and sustainable rural electrification systems relies on accurate prediction o...
Renewable energy sources become more and more popular among residential electricity customers in Ger...
The topics introduced in this thesis are: the Finnish load research project, a simple form customer ...
In this paper, a model is presented that generates electricity load profiles for individual German h...
Transition from fossil fuels to sustainable sources of energy like wind and solar is the need of the...
A major issue in modelling the electrical load of residential building is reproducing the variabilit...
The ongoing energy transition introduces new load and generation units like photovoltaic generation ...
A major issue in modelling the electrical load of residential building is reproducing the variabilit...
Approximately 27% of the European energy consumption is caused by the domestic sector, where 19% oft...
In this paper, we describe the development, implementation and application of a novel mathematical p...
Electrical distribution systems are usually poorly monitored networks with few measurement devices i...