266 citations · 544 across the 6 of their papers we have counts for
7 papers
Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting with Forecast Combinations
Maneesha Perera, Julian De Hoog, Kasun Bandara +1
Distributed, small-scale solar photovoltaic (PV) systems are being installed at a rapidly increasing rate. This can cause major impacts on distribution networks and energy markets.…
A machine learning accelerated inverse design of underwater acoustic polyurethane coatings with cylindrical voids
Hansani Weeratunge, Zakiya Shireen, Sagar Iyer +5
Here, we report the development of a detailed "Materials Informatics" framework for the design of acoustic coatings for underwater sound attenuation through integrating Machine Lea…
An Incentive-compatible Energy Trading Framework for Neighborhood Area Networks with Shared Energy Storage
Chathurika P. Mediwaththe, Marnie Shaw, Saman Halgamuge +2
Here, a novel energy trading system is proposed for demand-side management of a neighborhood area network (NAN) consisting of a shared energy storage (SES) provider, users with non…
Self Organizing Nebulous Growths for Robust and Incremental Data Visualization
Damith Senanayake, Wei Wang, Shalin H. Naik +1
Non-parametric dimensionality reduction techniques, such as t-SNE and UMAP, are proficient in providing visualizations for datasets of fixed sizes. However, they cannot incremental…
A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid
Nanduni I. Nimalsiri, Chathurika P. Mediwaththe, Elizabeth L. Ratnam +3
Electric vehicles (EVs) are an eco-friendly alternative to vehicles with internal combustion engines. Despite their environmental benefits, the massive electricity demand imposed b…
The Fast Heuristic Algorithms and Post-Processing Techniques to Design Large and Low-Cost Communication Networks
Yahui Sun, Marcus Brazil, Doreen Thomas +1
It is challenging to design large and low-cost communication networks. In this paper, we formulate this challenge as the prize-collecting Steiner Tree Problem (PCSTP). The objectiv…
Improving MMD-GAN Training with Repulsive Loss Function
Wei Wang, Yuan Sun, Saman Halgamuge
Generative adversarial nets (GANs) are widely used to learn the data sampling process and their performance may heavily depend on the loss functions, given a limited computational…