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Wind speed prediction (WSP) is essential in order to predict and analyze efficiency and performance of wind-based electricity generation systems.
Therefore, it is important to TAVANIR to analyze efficiency of these companies under a large amount of uncertainty.
In this study, energy evaluation method was applied to analyze efficiency of resource utilization and optimize energy consumption.
Thus, it may be hard to analyze efficiency changes across years, or analyze productivity improvements (or regression), as some measures are only collected by decade.
It is evident that the biogas systems mentioned above have benefits for energy consumption, environment improvement, labor and cost saving, fertilizer production, etc., compared to many non-renewable energy forms, so many studies analyze efficiency, sustainability or performance of biogas plants.
We used the DEA/Malmquist model to analyze efficiency changes over time.
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In this study, two important parameters have been analyzing: efficiency and simple payback time.
DEA proved to be a suitable tool for analyzing efficiency differences between silvicultural systems in the same forest holding.
Information reflecting drugs and supplies allocated could be useful in analyzing efficiency.
We also analyze computation efficiency and system stability.
First, we rigorously analyze the efficiency and robustness gains that are enabled by price-based multilateral exchange.
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