activity
20142021
most citedShort-term Forecasting of Anomalous Load Using Rule-based Triple Seasonal Methods

109 citations · 228 across the 9 of their papers we have counts for

collaborators

9 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…

cs.CL2020

Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining

Ananya B. Sai, Akash Kumar Mohankumar, Siddhartha Arora +1

There is an increasing focus on model-based dialog evaluation metrics such as ADEM, RUBER, and the more recent BERT-based metrics. These models aim to assign a high score to all re…

stat.AP2020★ 3 cited

Probabilistic Forecasting of Patient Waiting Times in an Emergency Department

Siddharth Arora, James W. Taylor, Ho-Yin Mak

We study the estimation of the probability distribution of individual patient waiting times in an emergency department (ED). Our feature-rich modelling allows for dynamic updating…

cs.CL2018★ 11 cited

Towards Exploiting Background Knowledge for Building Conversation Systems

Nikita Moghe, Siddhartha Arora, Suman Banerjee +1

Existing dialog datasets contain a sequence of utterances and responses without any explicit background knowledge associated with them. This has resulted in the development of mode…

cs.CL2018★ 1 cited

A Dataset for Building Code-Mixed Goal Oriented Conversation Systems

Suman Banerjee, Nikita Moghe, Siddhartha Arora +1

There is an increasing demand for goal-oriented conversation systems which can assist users in various day-to-day activities such as booking tickets, restaurant reservations, shopp…

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…