Machine learning for water mains maintenance 3 Oct By D Weeraddana, B Liang, Z Li, Y Wang, F Chen, D Phillips, N Saxena and L Bonazzi. First published in Water e-Journal Vol 4 No 3 2019.
How anticipating asset failure can lead to success for water utilities 2 Sep Predictive maintenance means water utilities can identify – and solve – problems with their assets before they even occur.
Ozwater'19 insights from the South Australian delegation 13 Jun The Australian Water Association’s (AWA) South Australian branch shares some thoughts on Ozwater’19.
New machine learning tool predicts sewage overflows 2 May A new AI tool predicts when sewage overflows will occur during extreme wet weather events, helping utilities potentially avoid them completely.
AI and machine learning are flowing into the water industry 25 Mar Advancements in sensor technology and data platforms can uncover insights never before attainable. Thea Howie investigates how the water … Read more
Enhancements and validation of a demand forecast tool for SA Water 7 Jan By A Duncker. First published in Water e-Journal Volume 3 No 4 2018.