Industry: Difference between revisions
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=== Optimizing supply chains ===
* '''[[Logistics Optimization]]'''
** '''[[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.▼
* '''[[Goods Demand Forecasting]]'''
* '''[[Greenhouse Gas Emissions Detection|Greenhouse gas emissions mapping]]''' '''for supply chains''': While some factories release publicly-available data on their emissions, this data is not available (or is misreported) in many cases, especially in emerging markets. ML can help map greenhouse gas emissions using a combination of remote sensing and on-the-ground data, leading both consumers and upstream suppliers to make greener decisions in sourcing products.
=== 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.
* '''[[Generative Design]]'''
=== Optimizing factory operations ===
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* '''[[Methane Leak Detection]]''': Fertilizer factories and some other chemical plants often leak methane, a powerful greenhouse gas. ML can help detect and prevent these leaks.
* '''[[Adaptive Systems Control]]'''
*[[Predictive Maintenance|'''Predictive Maintenance''']]: Quickly detecting machinery faults can help reduce electricity and materials waste. ML can help detect faults in real time from machinery sensor data, or even forecast them ahead of time to enable preemptive repair or replacement.
* [[Demand response|'''Demand response''']]
== Background Readings ==
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===Major professional organizations===
'''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]
**Helps (mostly large) manufacturers consider the entire life cycle of their products Website here.
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*[https://www.sasb.org/standards-overview/ Sustainability Accounting Standards Board (SASB)] -- popular global standards board for corporate sustainability efforts▼
▲* [https://www.bgafoundation.org/programs/clean-economy-manufacturing-center/ The BlueGreen Alliance's Clean Economy Manufacturing Center] (USA) helps American manufacturers and construction firms improve efficiency and sustainability
==Libraries and Tools==
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* [https://archive.ics.uci.edu/ml/datasets/Concrete+Compressive+Strength UCI Machine Learning Repository datasets, e.g. “Concrete Compressive Strength”]
==Relevant Groups and Organizations==
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==References==
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