Search Results for author:
Found 7 papers, 3 papers with code
Comparing Generator Unavailability Models with Empirical Distributions from Open Energy Datasets
The modelling of power station outages is an integral part of power system planning.
2T-POT Hawkes model for left- and right-tail conditional quantile forecasts of financial log-returns: out-of-sample comparison of conditional EVT models
We present an improved two-tailed peaks-over-threshold (2T-POT) Hawkes model that is adapted for conditional quantile forecasting in both the left and right tails of a univariate time series.
SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation
Depth models trained with SUB-Depth outperform the same models trained in a standard single-task SDE framework.
Self-Supervised Monocular Depth Estimation with Internal Feature Fusion
Therefore, it is natural to exploit semantic segmentation networks for depth estimation.
Ranked #5 on
Unsupervised Monocular Depth Estimation
on KITTI-C
Optimization-based modelling and game-theoretic framework for techno-economic analysis of demand-side flexibility: a real case study
This paper proposes a two-step framework for techno-economic analysis of a demand-side flexibility service in distribution networks.
Asymmetric excitation of left- and right-tail extreme events probed using a Hawkes model: application to financial returns
We construct a two-tailed peak-over-threshold Hawkes model that captures asymmetric self- and cross-excitation in and between left- and right-tail extreme values within a time series.
Hybrid European MV-LV Network Models for Smart Distribution Network Modelling
A pair of European-style, integrated MV-LV circuits are presented, created by combining generic MV and real LV networks.
