The main objective of this study was to develop an evolutionary analysis of artificial neural networks (ANN) in the forecast of wind energy for the period from 2007 to 2021. T he SciMat software tool was used to identify the performance and impact measures of the main research topics. For this, 250 research articles were retrieved from the Scopus and Web of Science databases. For the first evaluated period (2007-2011), there is a greater use of ANN models for the forecasting of wind energy. In the second period (2012-2016), the forecast interval approa ches based on ANNs are used. Finally, in the third period (2017-2021 ) , hybrid approaches are proposed for forecasting wind energy using ANN models and other approaches. Therefore, the results indicate that this field of research is constantly evolving, without yet reaching its stage of scientific maturity. Furthermore, results show that renewable energy source is the basic and transversal cluster of the application of forecasting wind models.Keywords--Energy forecast; artificial neural networks (ANN); wind energy; bibliometric analysis; SciMat.

This research aims to develop a management model for the maintenance of 60Kv voltage transformers considering as phases the good practices of the PMBOK regarding costs and times. The problem observed in this type of process occurs in the drying of the transformer, since it is one of the activities that consumes the most time during maintenance. For this, a management model was developed that optimizes the transformer drying process; which allows maintenance to be carried out within the factory facilities; which was achieved with new procedures to eliminate the humidity contained in the insulating parts of the transformer based on the optimization of the physical-chemical process of the transformer oil, obtaining as a result a reduction of the total maintenance time of 13 days, guaranteeing the optimal operation of the transformer and the reduction of operating costs.

Wind energy systems (WES) play a key role in the production of renewable energy. However, these systems face balancing issues in resource adequacy, network reliability, stability, and economic efficiency. In this sense, the objective of this work is to carry out a conceptual scientific mapping analysis of the performance and its interactions of WES within the field of research. For the analysis, SciMAT has been used as an o p ensource software tool applied to scientific mapping analysis under a longitudinal framework. The results show that WES are related to climate change, economic impact, energy efficiency, environmental impact, renewable resources, energy policy, greenhouse gases, investments, and wind farms. Finally, offshore wind turbines face a significant high levelized cost of electricity (LCOE) challenge.However, the LCOE can be reduced based on two criteria: optimizing the total cost or improving energy production. Therefore, the solution to these challenges is related to an optimal design, under an adequate control approach.

This paper proposes regulatory guidelines to promote Photovoltaic Distributed Micro Generation (MGDF). The purpose of encouraging regulated users of the public electricity service that consume electricity from the network is that they can produce electricity for their consumption, obtaining, additionally, an economic benefit for the surplus electrical energy generated that is injected into the electrical network. The implementation of the MGDF provides the opportunity to generate electricity free of noise and environmental pollution. Therefore, its regulation is necessary to define mainly the maximum power to be generated, requirements and technical criteria that must be met, as well as establishing a commercial mechanism for the energy injected into the electricity grid, when the generation is greater than the self-consumed energy.

This article analyzes the current situation of the quality of public electricity services -supply quality-in Peru and to propose a regulatory framework that helps to obtain better levels of quality in times of crisis, so that it does not affect economic activity. from the country. Taking into account the Emergency Decree, which suspends the payment of compensation for non-compliance with the Electric Services Quality Standard (NTCSE).