Making the World of Utilities More Efficient
When looking at data related to the utility industry, there are a few main types companies accumulate. These different types of data, being; transmission, distribution, meter (customer consumption), asset and geographical information systems are all relatively new sources of data for the electric utilities industry. Having this information on your side is an invaluable tool, and many utility companies are not making the most of this data.
By introducing data analytics to your utility business, you will see improvements in a variety of areas. There are three main examples of this:
- Predictive asset management can help your business to predict when a fault may occur with your equipment, meaning you are better equipped to respond quickly and effectively.
- Asset utilization can help you to compare usage to capacity, allowing you to answer some essential questions such as which transformers are loaded beyond their electrical or thermal rating, and for what duration?
- Power-quality issues can be more easily addressed, creating a better relationship with your customers and a more positive overall reputation
