activity
20162021
most citedA hybrid model of kernel density estimation and quantile regression for GEFCom2014 probabilistic load forecasting

68 citations · 74 across the 3 of their papers we have counts for

collaborators

5 papers

stat.OT2021★ 5 cited

Review of Low Voltage Load Forecasting: Methods, Applications, and Recommendations

Stephen Haben, Siddharth Arora, Georgios Giasemidis +2

The increased digitalisation and monitoring of the energy system opens up numerous opportunities to decarbonise the energy system. Applications on low voltage, local networks, such…

stat.AP2019★ 1 cited

Modelling the Demand and Uncertainty of Low Voltage Networks and the Effect of non-Domestic Consumers

Georgios Giasemidis, Stephen Haben

The increasing use and spread of low carbon technologies are expected to cause new patterns in electric demand and set novel challenges to a distribution network operator (DNO). In…

stat.AP2018

Short Term Load Forecasts of Low Voltage Demand and the Effects of Weather

Stephen Haben, Georgios Giasemidis, Florian Ziel +1

Short term load forecasts will play a key role in the implementation of smart electricity grids. They are required to optimise a wide range of potential network solutions on the lo…

stat.AP2016

A Genetic Algorithm Approach for Modelling Low Voltage Network Demands

Georgios Giasemidis, Stephen Haben, Tamsin Lee +2

Distribution network operators (DNOs) are increasingly concerned about the impact of low carbon technologies on the low voltage (LV) networks. More advanced metering infrastructure…

stat.AP2016★ 68 cited

A hybrid model of kernel density estimation and quantile regression for GEFCom2014 probabilistic load forecasting

Stephen Haben, Georgios Giasemidis

We present a model for generating probabilistic forecasts by combining kernel density estimation (KDE) and quantile regression techniques, as part of the probabilistic load forecas…