O Landsiedel, K Wehrle, S Gotz - The Second IEEE Workshop …, 2005 - ieeexplore.ieee.org
… Power Tossim benefits from the high scalability of Tossim, hardware abstraction in Tossim results in a lack of detail and accuracy in the energy consumption prediction of Power … of small …
GH Loh - Proc. First Value-Prediction Workshop, 2003 - researchgate.net
… Value prediction has been proposed for breaking datadependencies and … amount of energy. In this study, we use data-widths to partition the value prediction table into several smaller …
BC Lee, DM Brooks - ACM SIGOPS operating systems review, 2006 - dl.acm.org
… This locality induces shifts in the error distribution toward the upper left quadrant of the plot such that a larger percentage of predictions has smaller errors. Similarly, Figure 7R indicates …
D Parikh, K Skadron, Y Zhang… - … Symposium on High …, 2002 - ieeexplore.ieee.org
… the role of branch predictor organization in power/energy/… power in the branch predictor if this results in more accurate … predictor, we find that the the energy savings are quite small…
… power production of a wind farm with three wind turbines, using real load data and comparing different time prediction … Thus, small error in wind speed forecast will actually generate a …
Y Li, H Hu, Y Wen, J Zhang - … of the 5th International Workshop on …, 2016 - dl.acm.org
… powerprediction framework based on extensive power dynamic profiling and deep learning models. In particular, we first analyse different power … power series we collected has a small …
… The power output of these PV farms may fluctuate due to a … In this paper, we propose a solar powerprediction model based … larger amount of clouds (near 100) and a smalleramount of …
… Our ensemble using all features yields the best MSE in four cases, but only takes a small amount of the time taken by standard SVR. If training time is considered more important than …
X Yuan, C Chen, Y Yuan, Y Huang, Q Tan - Energy Conversion and …, 2015 - Elsevier
… The smaller this variance is, the more precise is the prediction. Consistent with the definition of E MAE in Eq. (31), the daily error (E DAY ) variance can be estimated as:(40) E DAY = 1 N …