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Purpose: The purpose of this paper is to describe a methodology that has been set up to schedule predictive maintenance of distribution transformers at Cauca Department (Colombia) using machine learning. Design/methodology/approach: The proposed methodology relies on classification predictive model that finds the minimal number of distribution transformers prone to failure. To verify this, the model was implemented and tested with real data in Cauca Department Colombia. Findings: The implementation of the methodology allows a saving of 13% in corrective maintenance expenses for the year 2020. Originality/value: The proposed model is an effective decision-making tool that provides an ideal solution for preventive maintenance scheduling problems for distribution transformers. [ABSTRACT FROM AUTHOR]

This chapter focuses on the international development plans implemented in Colombia during the regime of Gustavo Rojas Pinilla (1953-1957). It argues that foreign economists and international agencies, such as the World Bank, played a significant role in supporting and strengthening local leaders opposing the regime. By analyzing the creation of the Cauca Valley Corporation in 1955, through the intervention of the former chair of the Tennessee Valley Authority (TVA) David Lilienthal, this study provides two main contributions to the literature on economists and political economy under authoritarian rule. Firstly, it illuminates how local groups mobilized international economists to contrast Rojas. Secondly, it analyses the evolving relationship between World Bank advisors, David Lilienthal, and the regime. After describing the consolidation of political and economic interest groups and their global connections before Rojas coup d'état, it focuses on Rojas' regime and on how it affected the implementation of the World Bank development started with the General Survey Mission in 1949. In the Cauca Department, local leaders invoked the World Bank and Lilienthal to implement a TVA model in opposition with the central government. [ABSTRACT FROM AUTHOR]