Difference between revisions of "User:Skohli"
From REU@MU
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*Additive models and robust aggregation for GEFcomp2014 probabilistic electric load and electricity price forecasting by Gaillard, Goude, Nedellec. | *Additive models and robust aggregation for GEFcomp2014 probabilistic electric load and electricity price forecasting by Gaillard, Goude, Nedellec. | ||
*Read DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks | *Read DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks | ||
| − | Met Dr. Povinelli 4 times: to discuss possible project topics, to get oriented with the lab, to decide on a project topic, and to establish weekly milestones | + | *Met Dr. Povinelli 4 times: to discuss possible project topics, to get oriented with the lab, to decide on a project topic, and to establish weekly milestones |
'''Week 2 (June 5 - June 9)''' | '''Week 2 (June 5 - June 9)''' | ||
*Read chapter 4 of deep neural network book | *Read chapter 4 of deep neural network book | ||
Revision as of 19:42, 16 June 2017
Personal Information
- Incoming junior | Computer science major at Marquette
- Working with Dr. Povinelli in the GasDay Lab
Weekly Log
Week 1 (May 30 - June 2)
- Discussed preliminary project ideas with other researchers and mentor.
- Attended library tour.
- Attended the talk on how to conduct research.
- Read paper on the GEFcomp2014- Hongetal2016
- Read Bengio Learning Deep Architectures for AI
- Found more material to read.
- Attended weekly book club meeting as suggested by mentor
- Read chapter 1-3 in the book titled Deep Learning Book
- Read Probabilistic Forecasting by Gneting and Katzfuss
- Additive models and robust aggregation for GEFcomp2014 probabilistic electric load and electricity price forecasting by Gaillard, Goude, Nedellec.
- Read DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
- Met Dr. Povinelli 4 times: to discuss possible project topics, to get oriented with the lab, to decide on a project topic, and to establish weekly milestones
Week 2 (June 5 - June 9)
- Read chapter 4 of deep neural network book
- Attended GasDay camp
- Learned what GasDay does
- Benefits of working at GasDay
- Further research opportunities at GasDay
- How to work in a team
- Attended the Ethical research training
- Learned key concepts such as not fabricating, falsifying, and plagiarizing
- Read
- 10.1109/PMAPS.2016.7764155
- https://doi.org/10.1016/j.energy.2016.07.090
- http://www.sciencedirect.com/science/article/pii/S1568494617302946
