MarketView Anywhere Links Remote Energy Traders to Markets

2020 brought on brand new challenges for everybody in the energy industry. Working from home set-ups were particularly challenging for traders and analysts who normally work in close proximity in trade floors. Our director of product management for MarketView, Sven Schoerner, sat down with ComTech Advisory to talk about the benefits MarketView as a data […]

Oil Markets in Crisis: Production Outlook and Outline for Recovery

By now, everyone reading this blog should be aware of the crisis in oil markets. If not, this week’s spectacular collapse of the May WTI contract almost certainly caught your attention. I’m not the first to say this, but it’s worth repeating: the WTI settlement of -$37.63 a barrel was the result of traders’ difficulty […]

Coronavirus Power Demand Destruction Forecasting 101

When the coronavirus power load demand destruction began appearing in Enverus Trading & Risk’s daily ISO load forecasts, our team had to quickly tackle a new set of realities. Just like businesses all over the world, we were faced with never-before-seen scenarios as a result of the nationwide shutdowns. Our machine learning-based forecasting tools have […]

Why Automated Forward Curves Matter to Energy Traders

Forward curves are an integral part of the trading & risk business across the energy industry. In a typical trading & risk organization, you’ll see a few different segments focused on forward curve management. Risk managers watch curves to manage their value at risk Traders evaluate curves to value their profits and losses on a […]

Deep Learning Brings Texas-Sized Accuracy to Power Forecast

Machine learning has powered the forecasts of PRT, the Enverus power analytics platform, for more than 25 years. PRT analysts were trailblazers, using machine learning to build more accurate power forecasts in the 1990s. We have now cracked a new code in lowering MAPE (mean absolute percentage error) with deep learning, a powerful new counterpart […]

Harnessing Machine Learning in Trading & Risk Data Management

The benefits of machine learning and new technologies for energy trading risk management are gathering a lot of attention. Our customers are interested in access to Python, MATLAB, and R. For Wendi Orlando, Enverus VP of Trading & Risk product management, these are the top priorities for data management: Ensuring data quality Ensuring data comprehensiveness […]

Data Management is Everything for Energy Traders & Risk Professionals

Our customers have an enormous amount of data to manage, digest, and analyze in a quick, timely manner. How can customers have a single source of the truth to gather that data and mitigate risk? We asked Wendi Orlando, VP of Enverus Trading & Risk Product Management, and Ben Golden, Director of North American Professional […]

How Utilities Can Mitigate Price Risk With Enverus Forecasts

Third-party power forecasts are key when ISOs provide inaccurate load projections.   Power market participants in the PJM, a regional transmission organization covering a large swath of the northeastern U.S., may remember Oct. 1, 2019 for the rest of their careers. PJM power traders that relied on their local ISO for load forecasting began the […]

Power Price Volatility to Rise in 2020 as Renewables Gain Market Share

The influence of renewable energy in power generation is rising across the U.S. Growing adoption is creating an increase in wholesale price volatility, which we expect will expand in importance with the new decade. Much of the uptick to price volatility is caused by a reduced dependence on thermal units. These units are power stations […]

Canadian Oil Firms Find “Single Source of Truth” With Enverus

We are proud to work with so many companies that are part of Canada’s $110 billion-a-year oil and natural gas industry. There are Enverus Trading & Risk customers involved in all facets of extracting, processing, and delivering liquid petroleum products from the country’s underground reservoirs and vast oil sands to customers all over the world. […]

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