Friday, January 23, 2015

Job Opening at PNM Resources: Economist

To apply go to www.pnm.com/careers and read a full job description, register, upload a resume and
answer all posting questions. Deadline is no later than February 8, 2015.

Job Title: ECONOMIST
Job ID: 6084993
Location: PNM Resources, Albuquerque, NM
Full/Part Time: Full-Time
Regular/Temporary: Regular

Sunday, January 11, 2015

Job Openings at DTU: Assistant/Associate Professor in Energy Analytics & Markets

This is the first academic job posting on my blog. I'm posting it for my friend and colleague Pierre Pinson. I consider his group a top research group in the area of energy analytics. Knowing Pierre in person and working with him closely on several initiatives, I trust that whomever takes the job will enjoy working with him and have a bright future in the academic world. The original posting is HERE on DTU website.

Thursday, January 8, 2015

Make a difference in the Energy & Meteorology World!

Make a difference in the Energy & Meteorology World!

Guest Blogger: Dr. Alberto Troccoli
Commonwealth Scientific and Industrial Research Organization, Australia

I’ve always felt the urge to see my scientific research come out of the computer screen to land on a practical everyday situation. It is often much easier said than done however. As scientists we like to think our research is going to be used by someone one day, but the truth is that most of the time we prefer the comfort of the "ivory tower". We may feel a sense of relief when, in project proposals, we include the odd sentence about the critical role of our research for society, often added in an attempt to get our proposal across the line.

Oceanography, seasonal climate forecasts and more generally climate research has been a satisfying endeavor for me for many a year but the baby steps in this area of research, despite the size of the effort, had become less and less fulfilling. What a better time then to use weather and climate (collectively referred to as meteorology) observations and forecasts to directly assist society! And what better time to simultaneously assist society in the once-in-a-few-generation overhaul of the energy system! To contribute to the sustainability, resilience and efficiency of energy systems under ever changing weather and climate appeared (and it still does!) like a thrilling goal!

Saturday, January 3, 2015

Energy Efficiency, Demand Response and Demand Side Management

Among many challenges human beings are facing, two are related to energy resources and infrastructure, such as:
  • Do we have enough coal (or fuel or natural gas) to burn over the next few centuries? 
  • How to meet the peak demand with limited budget for infrastructure?

Friday, January 2, 2015

Load Forecasting and Load Research

Load forecasting is simply the activity to forecast load. (refer to Load, Demand, Energy and Power). According to AEIC Load Research and Analytics Committee, load research is the activity embracing the measurement and study of the characteristics of electric loads to provide a thorough & reliable knowledge of trends, and general behavior of the load characteristics of the customers serviced by the electric power industry.

Thursday, January 1, 2015

Energy Forecasting @2014

Happy New Year! My blog Energy Forecasting is two-year old now. This post is the summary statistics of its second year. All statistics are from Google Analytics.

Where are the readers?

They are from 125 countries and SARs.


They are from 2147 cities.


Comparing with Energy Forecasting @2013:

2013

2014

2013-2014

Countries

105

125

130

Cities

1,419

2,147

2,664

Users

6,022

10,878

16,798

Pageviews

20,430

40,986

61,416

Visits

10,504

20,892

31,396

Duration (hr)

388

824

1,204

 

All-time top 10 most viewed posts (from 2814 views to 1095 views):
  1. GEFCom2014 is ON: 8 tips before you join the game
  2. I'm hiring: research assistantships available
  3. Call For Papers: Probabilistic Energy Forecasting | International Journal of Forecasting
  4. Tao's recommended reading list for energy forecasters
  5. 10 recommended papers for GEFCom2014 contestants
  6. Inside leaderboard
  7. Three must-know basics of forecasting
  8. Three skills of the ideal energy forecaster
  9. I'm hiring AGAIN, for BigDEAL
  10. The most valuable advice I got from Jim Burke

Top 10 most-viewed classic posts (from 2293 views to 728 views):
  1. Tao's recommended reading list for energy forecasters
  2. 10 recommended papers for GEFCom2014 contestants
  3. Three must-know basics of forecasting
  4. Three skills of the ideal energy forecaster
  5. The most valuable advice I got from Jim Burke
  6. Getting a PhD in 20 months
  7. Tao's recommended SAS courses for energy forecasters
  8. Load forecasting terminology: a growing list
  9. Three more must-know basics of forecasting
  10. 13 lucky tips for energy forecasting
Again, thank you all for the encouragement and support. Happy forecasting in 2015!

Sunday, December 28, 2014

Forecasting and Data Mining

The main difference between forecasting and data mining is on the goal of the task. The goal of forecasting is to make statements about the future, while the goal of data mining is to extract patterns from large datasets. (The term "data mining" was a buzzword 15 years ago to broadly refer to working on the data, which is a misuse.) Many techniques can be applied to both forecasting and data mining, such as artificial neural networks, regression analysis, and clustering analysis, and so forth.

Thursday, December 25, 2014

Call For Papers: Big Data Analytics for Grid Modernization | IEEE Transactions on Smart Grid

IEEE Transactions on Smart Grid

Special Issue on Big Data Analytics for Grid Modernization

Advanced analytics is playing a vital role in the age of big data, such as managing smart cities, predicting crime activities, optimizing medicine formula based on genetic defects, detecting financial frauds, and personalizing marketing campaigns. Many industries are taking advantage of the big data after years of research and development. With the increasing deployment of new metering and monitoring devices such as phasor measurement units (PMUs) and smart meters, the electric utilities are collecting a large variety of data at an unprecedented granularity and volume.  So the optimal management and utilization large amounts of collected data become a huge challenge in utilities’ operations and planning. This special issue aims to publish original research papers and visionary reviews on the technologies, algorithms and case studies associated with big data analytics for smart grid applications and modernizing the electric power grid.

Monday, December 22, 2014

Job Opening at SRP: Load Research-Forecasting Analyst

Posting a job for a few friends at SRP. If interested, please visit SRP career site to apply.

Statistical Models and Econometric Models

Statistical models are the models built with statistical techniques. The counterpart can be artificial intelligence models, which are based on artificial intelligence. (Note that statistics and artificial intelligence are not mutually exclusive.) If a statistical model includes economic variables, no matter on the left or right side of the equation, the model can be called an econometric model.

Most forecasting analysts graduate from either economic department or statistics department. Depending upon their education background, they may call the same forecasting models differently. People with economics major usually call their models econometric models, while people with statistics major often call their models statistical models.