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Prof Dimitris Bertsimas
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Electric Power Optimization Centre
About EPOC
Our research uses mathematical modelling, optimization and statistical tools to comprehend modern electricity markets such as the NZEM, and to analyze and develop methods for efficient generation schemes and demand-side participation.
Prof. Dimitris Bertsimas visit to Auckland on February 10.

Prof. Dimitris Bertsimas, Boeing Professor of Operations Research at MIT presented two talks in Auckland on February 10. One presentation was in the Engineering Science seminar series, and the second lecture was part of a New Zealand Analytics Forum Meeting sponsored by the Operations Research Society of New Zealand. Slides can be downloaded by following the link above.
EPOC Members Presented at INFORMS Annual Conference 2019, Seattle, WA.

Prof. Andy Philpott presented the IFORS Keynote Address at INFORMS on Climate Change Analytics, and Dr Anthony Downward presented work on investment planning for 100% renewables.
Presentation at the BIRS-CMO Workshop in Oaxaca, Mexico

Andy Philpott presented at the BIRS-CMO Workshop in Oaxaca, Mexico
Improving sample average approximation using distributionally robust optimization (pdf)

100% renewable electricity with storage (pdf)

Efficiency of the New Zealand wholesale electricity market 2008-2017 (being updated) (pdf)

Appendix to Efficiency of the New Zealand wholesale electricity market 2008-2017 (revised) (pdf)

Machine Learning under a Modern Optimization Lens

Interpretable AI

Predictive and prescriptive analytics of grid defection

Investment Models for Electricity Systems under Uncertainty

Submission on Terms of Reference for Electricity Review (pdf)

Consultation on Transmission Pricing Methodology Second Issues Paper (pdf)

Arbitrage-free Pricing of Contingent Claims in Incomplete Markets via Moment Problems

Living in a Carbon-based World: CO2 and its impact on the EU Power Sector (ppt)

EPOC Winter Workshop 2019

Talks now available for download.
EPOC Winter Workshop 2018

Talks now available for download.