Water supply systems (WSS) are intensive energy demanding infrastructures relying on
water storage tanks and pumping systems for delivering water to consumers which face …

Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

Water distribution systems (WDSs) are vital urban infrastructure systems. To meet increasing
pumping energy demands and minimise environmental impacts, behind-the-meter (BTM) …

Traditionally, traffic congestion was alleviated through significantly upgrading the
infrastructure of transportation networks. However, building new roads or adding more lanes …

In recent years, a vision has been shared of how artificial intelligence (AI) can optimize the
increasingly complex operations of drinking water utilities. However, it has been unclear if …

To meet increasing energy demands, reduce environmental impacts, and increase
economic benefits, many water utilities have installed on-site renewable energy generation …

As the national digitization process accelerates, the number and energy consumption of
data centers are increasing year by year. Want to reduce the PUE of the data center. It is …

To remain competitive, companies must decide on new, desirable products. This can be
achieved by integrating insights how customers use a product into the process of deciding …

The water intake and water supply pump stations consume a large amount of energy every
year, and their energy efficiency improvement has a significant impact on the operations of …

Knowing the pressure at all times in each node of a water distribution system (WDS)
facilitates safe and efficient operation. Yet, complete measurement data cannot be collected …