Category Archives: Data and Analytics

Getting Better at Storm Related Outage Prediction

April 20, 2020 / Jill Feblowitz / Artificial Intelligence, Asset management, Data and Analytics, Deep Learning, Distribution Grid, Machine learning, Transmission Grid, Vegetation Management, Weather Forecasting

Utilities need to know the “ground truth” One of the utility’s primary missions is to minimize outage frequency and duration.  Outage prevention is even more important during the COVID-19. Until recently, storm-related outage prediction has been limited by lack of data and the use of spreadsheet-based models. The good news:  Up-to-date granular data (geo-referenced weather […]

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Resilience comes alive in Andover microgrid

March 25, 2020 / Jill Feblowitz / Data and Analytics, Microgrids, Start-ups

A microgrid is an electrical distribution network with underground wires that serves two or more buildings in a local area. Microgrids can enter ‘island mode’ and separate from the larger electrical grid when there is a major outage – self supplying with locally generated energy. You may have seen the recent announcement regarding the activation […]

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New technologies creating opportunities in transmission analytics

March 25, 2020 / Jill Feblowitz / Data and Analytics, Electric Fleets, Electric Vehicles, Synchrophasors, Transmission Grid, Weather Forecasting

Power transmission has rarely been the hottest topic in the utility industry. With the integration of large-scale renewables and the drive to decarbonize, this segment of the power value chain has received more attention, and the focus on data is not to be underestimated. Moves to electrification are raising questions about whether new transmission infrastructure is […]

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Using data to weigh the pros and cons of performance-based rates

March 25, 2020 / Jill Feblowitz / Data and Analytics, Performance-based rates, Regulation

Performance-based regulation (PBR) has been in the news, with Nevada approving legislation calling for a PBR process. Hawaii just approved a Phase 1 of a ground-breaking PBR initiative, deciding what “performance-based rates, tariffs, and other regulatory mechanisms were most critical for the island state’s efforts to reach 100 percent renewable energy by 2045.” Utilities are relying more […]

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Open source – What’s in it for utilities?

March 25, 2020 / Jill Feblowitz / Artificial Intelligence, Data and Analytics, Deep Learning, Machine learning, Open Source, Power Generation, Training, Transmission Grid

With an uptick in literacy in Python and R, utilities are hearing the term “open source” more often. But, open source has already become ubiquitous in many industries. The  2019 Open Source Security and Risk Analysis Report found that 100% of the software operating at in the energy and cleantech has open-source code. It stands to reason, […]

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What deep learning can teach utilities: Gaining insight from self-organizing maps

March 25, 2020 / Jill Feblowitz / Artificial Intelligence, Data and Analytics, Deep Learning, Distribution Grid

Duke Energy has a reputation for deploying analytics to solve business problems. The Data Science role at Duke was defined in 2014, with the first Data Scientist hired in 2015. Duke Energy now has over 80 data scientists across the enterprise. One senior data scientist, Miguel Sanda, has been exploring how the self-organizing maps (SOMs), unsupervised […]

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Deploying analytics as EV penetration increases

March 25, 2020 / Jill Feblowitz / Data and Analytics, Distributed Energy Resources, Electric Vehicles, Energy Storage, New Business Models

Once a niche product, EVs are coming into the mainstream. In the United States, registrations for EVs have grown at an astronomical 55% compound annual growth rate (CAGR) from 2011 to 2016 . According to a recent AAA survey, one in five U.S. drivers desires an EV for their next car. For utilities, EVs offer […]

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Embedding analytics at utilities

March 25, 2020 / Jill Feblowitz / Data and Analytics, Data Governance, Information Technology, Training

A grassroots approach, combining coursework and “learning by doing” has helped two utilities – Exelon and Consumers Energy –  to embed analytics into the work culture. To read more, go to Embedding Analytics from the Ground Up:  Training and Projects, UAI, December 2019. Data governance is like motherhood and apple pie.  Everyone thinks it is […]

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Wisely managing vegetation at the distribution level

March 25, 2020 / Jill Feblowitz / Data and Analytics, Decarbonization, Vegetation Management

Ever since the 2003 blackout, vegetation management has improved, largely due to FERC regulation. Still, improvement has been mostly in transmission. The “last mile” of distribution has not achieved maturity. The good news is that analytics infrastructure – monitoring, data access, analytics and operationalization – could bring more wisdom to managing distribution line vegetation. To […]

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