Widespread flooding. Downed power lines. Broken poles. Failed transformers and breakers. Leaking pipes. Shut down refineries. The toll that a catastrophic storm takes on the energy value chain is significant. A functioning power grid, clean water and reliable fuel sources are critical for public safety and economic recovery. Even with
Tell me if you’ve heard this before: Your company hired (or re-titled) a talented data scientist and they have great skills and no data. Or they're marginalized by IT because they're misunderstood. They're offered “cleansed” data that will fit into the hardware provisioned. What they want is “all” relevant data
Research indicates that IoT and Machine Learning are more valuable to utilities when used in combination but there are hurdles to overcome first. Machine learning and IoT will enable utilities to better realize the next generation of the power grid: a distributed system with power flows among millions of things
The Internet of Things (IoT), sensors and connected devices are all the buzz leading up to DistribuTECH (Feb 9-11), so I sat down with one of our IoT specialists, Lorry Hardt to learn more. Lorry will be at DistribuTECH to support our joint demonstration with Intel and gave me the
So you think you know how to forecast? Now is your chance to prove it, by participating in a probabilistic load forecasting competition run by my friend (and former SAS colleague), Dr. Tao Hong. Currently a professor at UNC Charlotte and director of the Big Data Energy Analytics Laboratory (BigDEAL),
As utilities expand analytic capabilities into more areas of the business, the reality of the data management challenge becomes very real. Most have accepted the era of "big data." But what about the quality of that big data? Is it reliable? What about the governance? Have the processes changed since
Oil companies are being forced to explore in geologically complex and remote areas to exploit more unconventional hydrocarbon deposits. New engineering technology has pushed the envelope of previous upstream experience. No guidebook existed on how computing methodologies can contribute to E&P performance at reduced risk. Until now. A new book
