Libros y Capítulos de libros

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https://repositorio.uft.cl/handle/20.500.12254/2438

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Examinando Libros y Capítulos de libros por Autor "Yanine, Fernando"

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  • Miniatura
    Ítem
    Chapter 12: Demand side energy management algorithms integrated with the IoT framework in the PV smart grid system
    (Academic Press, 2024-01-01) Rao, Challa Krishna; Sahoo, Sarat Kumar; Yanine, Fernando
    The smart grid revolution in the electric power sector will play a major role in the future. In the electric power system, the combination of new technology and communication infrastructure makes the grid smarter. To incorporate intelligence into the grid, many technological challenges must be solved, including those posed by energy storage systems, the integration of renewable sources, communication, protection, control, and demand-side management with customer involvement. Considering the rising need for electricity, one of the primary operational difficulties in the power system is balancing power generation to the constantly shifting load. Under the smart grid, utilities have realized that through demand side management and different demand response (DR) efforts, customer participation may be efficiently used for this balancing mechanism. The two-way communication between supply and demand can be successfully implemented with the help of smart grid intervention. Customers participate in DR schemes by actively reducing or shifting loads from peak to nonpeak hours concerning the pricing scheme. Therefore, it is essential to develop new demand response strategies for the smart grid, taking into consideration all features of the utility provider and the customers.
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    Chapter 14: Roles and Challenges of 6G for the Human–Computer Interface
    (Wiley, 2024-12-02) Priyabrata, Dash; Akankshya, Patnaik; Sahoo, Sarat Kumar; Yanine, Fernando
    Needless to say, technology flies like time. Within a relatively short span of about 30 years, we have been able to visualize the advent of 2G, 3G, 4G, and, finally today, the whole world is fondly using 5G. It is without a doubt that the 5G network is successfully satisfying customers’ needs, but dealing with the flow of excessive data and massive network densification all around the world has made things difficult for telecommunications and industry digitalization. Thus, the evolution of wireless communication beyond 5G (B5G) or 6G may not only be necessary for future industry growth, encompassing massive digital transformation of several industries, but also certainly plausible. In this context, we will show, for example, that 6G is expected to deal with multi-sensory technologies in order to create new ways for people to interact with each other and with other technologies, in an effort to be updated with the upcoming global sustainability and fairness trends. 6G is believed to be a self-content application of Artificial Intelligence. Thus, as researchers, it is the right time to investigate and discover upcoming 6G technology deliverables, especially for the human–computer interface (HCI). HCI is a multidisciplinary topic of investigation and also a broad term that connects Computer Science, Cognitive Science, and Human Factors Engineering. HCI no longer focuses on the behavior of individual or generic users, but it broadens its base towards organizational and social computing. This chapter aims to clarify the proposed road map that lies ahead, which identifies certain roles of 6G technology for the human–computer interface. It also explores its role in current businesses and organizations. The chapter also unearths key tenets of the literature on the subject as well as helps researchers to discover both identified and unidentified challenges of 6G for HCI. The chapter also intends to identify potential technology challenges that may lie ahead and provide a solution for many upcoming problems and open a new horizon for imminent research on the matter, in order to advance knowledge in these areas. The main purpose of this chapter is to analyze and deliberate the various potentials and flaws of 6G for human–computer interfaces.
  • Miniatura
    Ítem
    Renewable power generation price prediction and forecasting using machine learning
    (Wiley, 2024-05-28) Rao, Challa Krishna; Sahoo, Sarat Kumar; Yanine, Fernando
    In the power market, electricity price forecasting (EPF) is a crucial consideration for decision-making. The need to optimize earnings by adjusting bids in day-ahead power markets is becoming more and more important to different market participants. Prior information is required for marketers to have an advantage over the competition while controlling the risk of pricing fluctuation. However, not all marketers must accurately predict the worth of future pricing when making decisions. To make a choice, it is necessary to determine whether the cost will be prohibitive. Thus, in order to determine the prices that have an impact on marketers, electricity price classification is first performed. Based on a threshold value, prices are categorized as low class prices and high class pricing. In order to determine the precise value of prices for utility maximization, the EPF has been explored next. In order to maximize advantage or utility, buying and selling bidding techniques rely on the accurate projections of prices for the following day. Effective forecasting models can improve the performance of producers and consumers, who play important roles in the electrical markets. The EPF approaches now in use produce complicated models and are not generalizable.The best method for forecasting prices with superior generalization performance, kernel functions, and distributive prediction is to use machine learning (ML)-based models. In order to forecast prices, machine learning-based electricity price forecasting has been studied. On the markets of Ontario, Austria, and India, the ML models have been put to the test. Neural networks, support vector machines, core vector machines, information vector machines, and relevance vector machines (RVM) have all been used with EPF, and their performances have been assessed in order to determine the optimum model. When all of these models are examined, it becomes clear that RVM is the most effective and trustworthy ML approach for various markets. The price of power fluctuates a lot, with both typical costs and spikes that might be tens to hundreds of times higher than the average price range. The prediction for the overall price of energy is created by adding together average prices and price peaks. A good and precise price spike forecast is required because price spikes have a big influence on the electrical market. As a result, a threshold value has also been used to forecast the spike value. The potential for more research in this field has also been emphasized.
  • Miniatura
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    The current dilemma of the social healthcare system in Chile: an analysis of the current situation and discussion of the pending reforms, from a social sustainability management viewpoint
    (Springer Nature, 2025-03-01) Yanine, Fernando
    El sistema sanitario chileno se encuentra en una encrucijada, enfrentándose a importantes disparidades y desigualdades entre sus sectores público y privado. Este capítulo describe la grave situación actual del modelo sanitario chileno y aborda los dilemas a los que se enfrenta la población, que observa cómo el sistema sanitario chileno se encuentra en una encrucijada. Este trabajo destaca las desigualdades en el acceso, la calidad inconsistente de la atención y los problemas de sostenibilidad financiera que afectan al sector público, mientras que la situación del sistema sanitario privado chileno se ve amenazada por las crecientes presiones de las políticas gubernamentales y las incertidumbres que se avecinan. Al examinar los retos estructurales y presentar ejemplos de la vida real, este capítulo subraya la urgente necesidad de reformas integrales. Así, desde la perspectiva de la gestión de la sostenibilidad social, el debate explora cómo puede evolucionar el sistema sanitario chileno para ofrecer servicios equitativos y de alta calidad, manteniendo al mismo tiempo su viabilidad a largo plazo. Este capítulo esboza los principios clave de la sostenibilidad social, basándose en modelos exitosos de otros países, y ofrece una visión general de las reformas pendientes propuestas para abordar estas cuestiones sistémicas. El objetivo es presentar un análisis equilibrado de los posibles impactos de estas reformas en la calidad y la sostenibilidad de la atención sanitaria en Chile, ofreciendo información sobre las perspectivas de las distintas partes interesadas. En última instancia, este capítulo pretende contribuir al debate sobre la creación de un sistema sanitario más justo y sostenible en Chile, capaz de proporcionar servicios de calidad a precios asequibles y de manera oportuna a la población chilena, garantizando que todos los ciudadanos tengan acceso a la atención que necesitan y merecen. The Chilean healthcare system stands at a crossroads, grappling with significant disparities and inequities between its public and private sectors. This chapter describes the dire state of the Chilean healthcare model at present and addresses the current dilemmas faced by the population that stands looking at Chile's althcare system at a crossroad. The work highlights the inequalities in access, inconsistent quality of care, and financial sustainability issues that plague the public sector while the situation of Chile’s private healthcare system is threatened by growing governmental policy pressures and looming uncertainties. By examining the structural challenges and presenting real-life examples, this chapter underscores the urgent need for comprehensive reforms. Thus, through the lens of social sustainability management, the discussion explores how the Chilean healthcare system can evolve to deliver equitable, high-quality services while maintaining long-term viability. The chapter outlines key principles of social sustainability, drawing on successful models from other countries, and provides an overview of the pending reforms proposed to address these systemic issues. The aim is to present a balanced analysis of the potential impacts of these reforms on the quality and sustainability of healthcare in Chile, offering insights into the perspectives of various stakeholders involved. Ultimately, this chapter seeks to contribute to the discourse on creating a more just and sustainable healthcare system in Chile, one that is able to provide quality services at affordable prices in a timely manner for Chile’s population, ensuring that all citizens have access to the care they need and deserve.