Industry: Difference between revisions
→Machine Learning Application Areas
No edit summary |
|||
Line 14:
== Machine Learning Application Areas ==
=== Optimizing supply chains ===
** '''[[Electricity Supply Forecasting|Supply]] and [[Energy Demand Forecasting|demand]] forecasting''': The supply and demand of power must both be forecast ahead of time to inform electricity planning and scheduling. ML can help make these forecasts more accurate, improve temporal and spatial resolution, and quantify uncertainty.
* Optimizing supply chains and logistics
* Carbon-conscious sourcing
*Designing for carbon-conscious products/processes▼
=== Developing cleaner products and materials ===
* '''[[Accelerated Science|Accelerated science]] for clean energy technologies''': Designing new materials is important for many applications, including energy storage via batteries or solar/chemical fuels. ML can help suggest promising materials to try, thereby speeding up the materials discovery process.
* Minimizing material use through intelligent design
▲* Designing for carbon-conscious products/processes
=== Optimizing factory operations ===
* Optimizing energy usage
* Minimizing wastage
* [[Predictive Maintenance]]
== Background Readings ==
Line 29 ⟶ 41:
== Online Courses and Course Materials ==
'''Autodesk Sustainability Workshop''': "free online learning resources that teach the principles and practice of sustainability in engineering and design. This site was created to help students, educators and professionals learn more about sustainability in engineering and architecture professions." Practical videos on sustainable product design, materials selection, and engineering available [https://www.youtube.com/user/AutodeskEcoWorkshop/videos here].
==Conferences, Journals, and Professional Organizations==
===
===Major journals===
* [https://www.sciencedirect.com/journal/journal-of-cleaner-production Journal of Cleaner Production]
Line 37 ⟶ 51:
* [https://www.journals.elsevier.com/energy-and-buildings Energy and Buildings]
===
'''IEEE Power & Energy Society''': "[T]he world's largest forum for sharing the latest in technological developments in the electric power industry, for developing standards that guide the development and construction of equipment and systems, and for educating members of the industry and the general public." Website here.
* [https://carbon180.org/newcarboneconomy Carbon180 New Carbon Economy Consortium] is focused on carbon capture and sequestration, including agriculture and forestry
* [https://www.ellenmacarthurfoundation.org/ Ellen MacArthur Foundation -- consortium around the circular economy and sustainable supply chains/materials development]
Line 55 ⟶ 69:
==Data==
''See the subpages listed [[Industry#Machine%20Learning%20Application%20Areas|above]] for application-specific datasets.''
* [https://archive.ics.uci.edu/ml/datasets/Concrete+Compressive+Strength UCI Machine Learning Repository datasets, e.g. “Concrete Compressive Strength”]
| |||