In a recent video blog, I discuss forecast accuracy as a parameter for measuring the ability to forecast and plan demand. I further argue for the use of causal data as a key input to understanding historical demand and forecasting/planning future demand. Forecast accuracy is often claimed NOT to be
Energy & Utilities
I think it's time to replace my 2008 Prius. It has served me well, been basically maintenance-free, and gotten good gas mileage ... so, why not just get a newer Prius? Well, I've got the itch to get back into an SUV for my daily driver (I had a Bronco
In these modern times, my utility bill has a bar chart so I can see how my current consumption compares to my historical usage. I decided to create my own version of this utility bill bar chart, and make a few improvements along the way. If you're into SGplot bar
Hoy en día, las organizaciones necesitan analítica de alto rendimiento para mejorar todos sus indicadores de negocio, ya no es un lujo: es una necesidad. La transformación digital y el análisis empresarial son una prioridad en la agenda de muchas empresas que buscan destacar en un mundo hiper competitivo que
Note: This is the second post in a series featuring analytics leaders in the utility industry. St. Louis is home to Anheuser Busch, the legendary Cardinals baseball team, and Ameren, where analytics rocks. More on this later. Ameren is a large investor-owned utility that serves St. Louis and the surrounding
You might have seen in the news that US exports of natural gas to Europe are up 300%. And we recently crossed the threshold where we export more natural gas than we import. This seems like a momentous occasion, and worthy of a graph! But first, let me make sure
El uso de herramientas de analítica avanzada permite a las organizaciones desplegar capacidades de “Customer Decisioning” para entregar a sus clientes una experiencia de consumo excepcional, gracias a una mayor relevancia en cada interacción. En la actualidad, los clientes esperan una experiencia perfecta, altamente personalizada y relevante ya sea en
Note: This is the first in a series of profiles of leaders in today’s utility analytics marketplace. “My job is to make people uncomfortable with the way they do things today. Transformation implies a revolution, not small incremental changes, and today the big revolution in any industry is in data,"
Si reconoces que el análisis de datos es fundamental para el éxito de tu organización, entre el 28 de abril y el 1 de mayo tienes que estar en Dallas, Texas, la sede del evento más importante del ámbito de la analítica avanzada. ¿Qué motivos justificarían el viaje? Podríamos señalar
US farmers grow a lot of food ... but did you know some of them also grow fuel for our vehicles? Follow along and you'll learn how much fuel they grow, and also learn some tips about plotting this type of data! These days most gasoline in the US has
When I fill up my daily-driver Prius, the price of gasoline isn't that important. But when I occasionally take a trip in my V8 Suburban, I pay a lot more attention! Therefore I was pleasantly surprised when I noticed that gasoline prices have been falling. How much have they fallen,
El comienzo de un nuevo ciclo, de un nuevo año, implica el establecimiento de una evolución como persona o negocio. El arranque de 2019 es una buena oportunidad para hacer coincidir la tecnología analítica con los propósitos de su negocio. ¿Desea saber lo que le depara el futuro? ¿Encontrarás las
지능형사물인터넷(AIoT)에 대해 들어본 적 있으신가요? 지능형사물인터넷은 사물인터넷(IoT)을 통해 연결된 스마트 기기 데이터에 인공지능(AI)을 적용하는 것입니다. AIoT가 활성화되면 연결된 기기(커넥팅 디바이스)에서 수집된 정보를 기반으로 머신러닝 학습과 분석은 물론 서비스 제공까지 동시에 이루어질 수 있을 텐데요. 학습과 자동화를 기반으로 사람의 업무 처리 영역을 돕는 인공지능 기술은 경험 학습, 새 입력값(Input)을 통한 조정, 별도의 수동 조작이
The ODS Graphics software, first released with SAS 9.2, supported creating graphs directly from statistical procedures. Prior to this, very few statistical procedures created graphs on their own, and in most cases creating graphs was a post process or creating the graphs from the saved data using SAS/GRAPH procedures. With
The SAS 9.4M6 software includes a new SGPIE procedure (preproduction) as introduced in the recent article - The SGPIE Procedure. In that article, I described the basic features of the two statements supported in the procedure, the PIE and the DONUT, with some examples. It is my humble opinion that
Note: Today’s utility industry is in upheaval. All of the assumptions the business has run on have been turned on their heads. This post is the third in a three-part series looking at how analytics are helping utilities navigate this challenging landscape and find new opportunities for improvements in operations,
Note: Today’s utility industry is in upheaval. All of the assumptions the business has run on have been turned on their heads. This post is the second in a three-part series looking at how analytics are helping utilities navigate this challenging landscape and find new opportunities for improvements in operations,
Note: Today’s utility industry is in upheaval. All of the assumptions the business has run on have been turned on their heads. This post is the first in a three-part series looking at how analytics are helping utilities navigate this challenging landscape and find new opportunities for improvements in operations,
Over the years, the US has drilled for crude oil in several locations, such as Pennsylvania, Texas, Alaska, and the Gulf of Mexico. A few years ago, as the US started drilling more in North Dakota, there were forecasts that we would surpass Saudi Arabia in crude oil production. And recently,
What’s that buzz on the power line? It’s AI, of course! But what is AIoT, you ask? It is applying artificial intelligence (AI) to data from smart devices connected by the Internet of Things (IoT). AI is the science of training systems to perform human tasks through learning and automation.
지난 7월 정부는 스마트 그리드(smart grid) 서비스가 구현되는 체험 단지 조성 등을 골자로 하는 ‘제 2차 지능형 전력망 기본 계획’을 발표했습니다. 이에 따라 올해부터 2022년까지 스마트 그리드 서비스 활성화, 각종 인프라 구축 등에 4조5,000억 원을 투자할 방침입니다. 스마트 그리드는 전기의 생산, 운반, 소비 과정에 정보통신기술(ICT)을 접목해 효율성을 높일 수 있도록
In the oil industry you can make or lose money based on how good your forecasts are, so I’ve pulled together six papers that discuss different ways in which you can leverage analytics to optimize your output and more accurately predict your production performance. Written by employees at oil and
Looking for use cases for analytics to derive value at an electrical utility? We have identified over 125 ways you can use analytics to improve the business processes at an electric utility. I recently posted a series of blog posts discussing four different use cases. Now I'd like to share
SAS works with utilities all over the world, helping these companies capitalize on the value of analytics and become "digital utilities." When we talk to utilities, we look at analytics use cases across: assets and operations; customers; portfolio; and corporate operations (see diagram below). In this fourth post of my four-part
Our company talks to utilities all over the world about the value of analytics and "the digital utility," and we share analytics use cases across: assets and operations; customers; portfolio; and corporate operations (see diagram below). In this third post of my four-part series, I'll highlight a customer analytics use case. Customer
During these hot summers in the southern US, many people regard Willis Carrier (the man who invented modern air conditioning) as a saint. But along with the comfortable indoor temperatures comes the high electricity bill at the end of the month. And how much does the electricity cost? That's a difficult
Our company talks to utilities all over the world about the value of analytics. We help utility executives understand what the "digital utility company" looks like and share use cases to illustrate how these companies are using analytics across: assets and operations; customers; portfolio, and corporate operations (see diagram below).
Our company talks to utilities all over the world about the value of analytics. We like to talk about "the digital utility" and break down analytics use cases across: assets and operations; customers; portfolio; and corporate operations. I plan to highlight a few analytics use cases for utilities across these four areas
“Machine Learning” is a trendy term being kicked around (pun intended) by fraud fighters around the world. In fact, Machine Learning is such a popular term that it is becoming a staple in buzzword bingo games. Here’s a little secret about machine learning… many of the people who talk about
Remember when electric vehicles were a new thing? Just a few years ago, everywhere we turned there were opinions, white papers, and articles espousing the wonders of electric vehicles, and an equal chorus of voices warning of the dangers and challenges of electric vehicles. Would they blow up half of