Monte Carlo simulation of residential electricity demand for forecasting maximum demand on distribution networks

By D. McQueen, P. Hyland, Simon J. Watson. IEEE Transactions on Power Systems, 2004

128 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/9e144208d8b9a77329fb3236f473208e62739c41

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. M. Thomson
2. Danica Vukadinović Greetham
3. Siddharth Arora
4. Stephen A. Haben
5. Marcus Voss
6. E. McKenna
7. Georgios Giasemidis

In Safety, Risk, Reliability and Quality

1. Siddharth Arora

Citations in the corpus

• Review of low voltage load forecasting: Methods, applications, and recommendations (2021, methodology): “The authors in [154] focus on modelling the maximum demand on distribution networks using Monte Carlo simulations.”
• Smart meter data: Balancing consumer privacy concerns with legitimate applications (2012, background): “The parameter of importance is the after diversity maximum demand (ADMD), which formally refers to 'the maximum demand, per customer, as the number of customers approaches infinity' (McQueen et al., 2004).”