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The Pareto frontier of conflicting objectives (life cycle savings and prime energy saving efficiency) is obtained for the optimal system design.
Energy efficiency is the prime example; we know that we can use energy more efficiently, yet we don't.
All central station plants, where efficiency is a prime consideration, employ condensing turbines.
Therefore, HCM should definitely be preferred over FCM when computationally efficiency is of prime importance.
Energy efficiency is the prime objective of the optimization model and the performance of the model is limited by the quality and quantity of data inputs like any other machine learning applications.
Power efficiency is at a prime in satellite communications, and an eventual reduction of the back-off implies an improvement in the link budget and an eventual increase of the coverage area.
Singaporean efficiency is the model.
Efficiency is of utmost concern.
Efficiency is through the roof!
But efficiency isn't everything.
"Efficiency efficiency efficiency" is definitely going to be the mantra of government too.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com