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20112021
most citedShort Term Load Forecasts of Low Voltage Demand and the Effects of Weather

99 citations · 382 across the 18 of their papers we have counts for

collaborators

18 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.ML2020

Descriptive and Predictive Analysis of Euroleague Basketball Games and the Wisdom of Basketball Crowds

Georgios Giasemidis

In this study we focus on the prediction of basketball games in the Euroleague competition using machine learning modelling. The prediction is a binary classification problem, pred…

cs.SI2019★ 46 cited

A semi-supervised approach to message stance classification

Georgios Giasemidis, Nikolaos Kaplis, Ioannis Agrafiotis +1

Social media communications are becoming increasingly prevalent; some useful, some false, whether unwittingly or maliciously. An increasing number of rumours daily flood the social…

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…

eess.SP2018★ 3 cited

Optimising Parameters in Recurrence Quantification Analysis of Smart Energy Systems

Georgios Giasemidis, Danica Vukadinovic Greetham

Recurrence Quantification Analysis (RQA) can help to detect significant events and phase transitions of a dynamical system, but choosing a suitable set of parameters is crucial for…

stat.AP2018★ 99 cited

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…