Energy in Transition
Solving the energy trilemma
The ETL process pays off for utility billing and tracking analyses
Introduction Extract, transform, and load (ETL) is a fundamental process for managing billing and tracking data. Ralph Kimball, one of early practitioners to formalize many data warehousing concepts and best practices, says the ETL process is the ...
End-use metering workshops in Saudi Arabia
DNV GL co-hosted the Enetics' Single Point End-Use Energy Disaggregation (SPEED) Workshop in Riyadh, Saudi Arabia, during the week of November 15. The workshop training was sponsored by the Saudi Electric Company (SEC) and was well attended by re ...
How does more accuracy in end-use load shapes improve impact estimation of energy efficiency and DR programs?
Background of Demand-Side Management and Evaluation in the U.S. The 1970's saw two events that forever changed the landscape of electricity production in the United States. The Arab Oil Embargo of 1973 ended the era of cheap oil at a time when oil s ...
Bottom-up energy forecasts that change with the times and adapt to the grid
Why do my time-tested and well-performing forecasts need to change? It's sometimes said that load forecasting (especially in the short term) is essentially a "solved" problem. This false sense of success typically comes about from repeatedly achievi ...
Accounting for customer solar energy
Looking for Insight Utilities use Load Research to assign system and peak load responsibility across customer rate groups, or "customer classes." These load research studies are very data-intensive, and provide inputs for rate design, cost-of-serv ...
What lies below the curve? What options are available to researchers looking to gain insights on household end-use loads?
Finally! The quality of load profile data from advanced metering infrastructure systems (AMI) is sufficient to provide reliable data for advanced utility analytics. But, what if the researcher wants to get below the total premise load profile curve a ...
Next-generation demand response forecasting - increasing the accuracy and speed of your forecasts
This author no longer works for DNV GL. Does this sound familiar? Your utility has demand response programs that shave peak when deployed, by between 40 and 80 MW total, depending on the day. Some of this wide variation is due to weather diffe ...
Improving your energy sales forecast with end-use data
This author no longer working for DNV GL. Why does the Energy Sales Forecast matter? Gone are the days when economic and load growth were sufficient to reasonably buffer volatility in cost and to justify error in the energy sales forecasts. Insight ...