Utilihive Use Cases (11)

Big data generates even bigger outcomes for wind farm owners using data-driven insights and machine learning techniques.

Energy forecasting is a technique to predict future energy needs to achieve demand and supply equilibrium.

Utility leaders recognize the potential of unifying data and processes from IT and OT. More and more utilities are integrating b

With the adoption of renewables and distributed generation, Germany legislators have made revisions to the NABEG 2.0 regulations

Reducing the number of unplanned outages and better managing their duration is a priority for most utilities to mitigate costs a

Rolling out smart meters and advanced metering infrastructure (AMI) is typically very costly, particularly for smaller utilities

EV Charging Management Systems are crucial for managing the various expectations of those involved in the EV charging ecosystem.

Most European distribution system operators (DSOs) have limited information regarding the real-time status of their LV Grid.

Extracting insights from the volume of data generated by connected devices and sensors in the Smart Grid is complex.

Utilities experience significant revenue loss due to Non-Technical Losses (NTLs). Worldwide utilities lose $96 billion annually.