Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Business
Machine Learning Predictions Of Electricity Capacity, Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, Rhitabrat Pokharel, Francis Puyleart, Martin Zwick
Machine Learning Predictions Of Electricity Capacity, Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, Rhitabrat Pokharel, Francis Puyleart, Martin Zwick
Systems Science Faculty Publications and Presentations
This research applies machine learning methods to build predictive models of Net Load Imbalance for the Resource Sufficiency Flexible Ramping Requirement in the Western Energy Imbalance Market. Several methods are used in this research, including Reconstructability Analysis, developed in the systems community, and more well-known methods such as Bayesian Networks, Support Vector Regression, and Neural Networks. The aims of the research are to identify predictive variables and obtain a new stand-alone model that improves prediction accuracy and reduces the INC (ability to increase generation) and DEC (ability to decrease generation) Resource Sufficiency Requirements for Western Energy Imbalance Market participants. This …
Science, Technology, Society, And Law, Paolo Davide Farah, Justo Corti Varela
Science, Technology, Society, And Law, Paolo Davide Farah, Justo Corti Varela
Book Chapters
Traditionally, science and technology have been granted as sources of knowledge and objective truth. However, much more recently, they are also seen as human activities, conducted in a social environment. This new approach focuses on the intersections between science, technology and society, and particularly their regulation by the law. Concerns on how to best regulate the interaction come up in modern societies, and when either their use or their impacts are global, international law and international organizations become involved. The impact of the fourfold relation is so high that science and technology are seen as one of the reasons for …