Hyperight

Big Data And Machine Learning For Production Optimisation – Alla Sapronova

Practical examples on how machine learning can enhance production optimization in wind energy and shipping (oversees cargo transpot) activities will be shown. Examples cover the whole business life-cycle, from planning to O&M. We also will compare the decision making strategy based on machine learning with commonly used practices, based either on historical records or physical-based modeling. Here the pros and cons of machine learning methods application for real-time decision support and production optimization will be addressed.

Key Points:

  • Machine Learning (ML) application in production optimization
  • Real-time decision support for O&M with big data analysis
  • Advantage and disadvantage of ML application for production optimization

Add comment

Highlight option

Turn on the "highlight" option for any widget, to get an alternative styling like this. You can change the colors for highlighted widgets in the theme options. See more examples below.

Instagram

Instagram has returned empty data. Please authorize your Instagram account in the plugin settings .

Ivana Kotorchevikj

Categories count color

Advertisement

Small ads

Flickr

  • Traffic lights
  • WoMo
  • Setra presentation
  • It never ends
  • stand still screening-smoking girl
  • Maria d'Odessa performs her art of make-up
  • Afro-deko-mono
  • Maria d'Odessa, touching
  • Maria d'Odessa au bâton de rouge-baiser

Social Widget

Collaboratively harness market-driven processes whereas resource-leveling internal or "organic" sources.

ThemeForest