Advanced Methods of Power Load Forecasting

This reprint introduces advanced prediction models focused on power load forecasting. Models based on artificial intelligence and more traditional approaches are shown, demonstrating the real possibilities of use to improve prediction in this field. Models of LSTM neural networks, LSTM networks with a SESDA architecture, in even LSTM-CNN are used. On the other hand, multiple seasonal Holt-Winters models with discrete seasonality and the application of the Prophet method to demand forecasting are presented. These models are applied in different circumstances and show highly positive results. This reprint is intended for both researchers related to energy management and those related to forecasting, especially power load

A survey on author profiling, deception, and irony detection for the Arabic language

"This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."[EN] The possibility of knowing people traits on the basis of what they write is a field of growing interest named author profiling. To infer a user's gender, age, native language, language variety, or even when the user lies, simply by analyzing her texts, opens a wide range of possibilities from the point of view of security. In this paper, we review the state of the art about some of the main author profiling problems, as well as deception and irony detection, especially focusing on the Arabic language.Qatar National Research Fund, Grant/Award Number: NPRP 9-175-1-033Rosso, P.; Rangel-Pardo, FM.; Hernandez-Farias, DI.; Cagnina, L.; Zaghouani, W.; Charfi, A. (2018). 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Automate the trading activities of a bookstore as a business process improvement factor

This article presents a project of a bookstore information system, the main purpose of which is to automate the trading activities of a bookstore, work with reports on sales and purchases. The purpose of creating the system is: to increase the number of clients served per unit of time due to the automatic generation of checks and invoices; reducing the time for processing and processing orders, searching for the necessary information about the product and generating invoices by storing and systematizing data in electronic form; reduction of costs and time for registration of deliveries of goods due to partial auto-completion of documents

Design and Empirical Validation of a Bluetooth 5 Fog Computing Based Industrial CPS Architecture for Intelligent Industry 4.0 Shipyard Workshops

[Abstract] Navantia, one of largest European shipbuilders, is creating a fog computing based Industrial Cyber-Physical System (ICPS) for monitoring in real-time its pipe workshops in order to track pipes and keep their traceability. The deployment of the ICPS is a unique industrial challenge in terms of communications, since in a pipe workshop there is a significant number of metallic objects with heterogeneous typologies. There are multiple technologies that can be used to track pipes, but this article focuses on Bluetooth 5, which is a relatively new technology that represents a cost-effective solution to cope with harsh environments, since it has been significantly enhanced in terms of low power consumption, range, speed and broadcasting capacity. Thus, it is proposed a Bluetooth 5 fog computing based ICPS architecture that is designed to support physically-distributed and low-latency Industry 4.0 applications that off-load network traffic and computational resources from the cloud. In order to validate the proposed ICPS design, one of the Navantia’s pipe workshops was modeled through an in-house developed 3D-ray launching radio planning simulator that allows for estimating the coverage provided by the deployed Bluetooth 5 fog computing nodes and Bluetooth 5 tags. The experiments described in this article show that the radio propagation results obtained by the simulation tool are really close to the ones obtained through empirical measurements. As a consequence, the simulation tool is able to reduce ICPS design and deployment time and provide guidelines to future developers when deploying Bluetooth 5 fog computing nodes and tags in complex industrial scenarios.Auto-ID for Intelligent Products research line of the Navantia-UDC Joint Research Unit (Grant Number: IN853B-2018/02) 10.13039/100014440-Ministerio de Ciencia, Innovaci??n y Universidades (Grant Number: RTI2018-095499-B-C31

Investigating the factors affecting the net benefits and change in user behaviour in technology push scenarios in Smart cities

Purpose – The aim of this study is to investigate the factors affecting the net benefits and change in user behaviour in a technology push scenario in Smart Cities. Design/methodology/approach –The research was conducted using a quantitative approach. Hence, quantitative data was obtained by devising and distributing a questionnaire adapted from the literature to serve the purpose of this research. Data was analysed by using SmartPLS software, since this tool allowed for the creation of a Structural Equation Modelling (SEM). Contributions –The research is expected to help foster an understanding of the factors affecting citizens’ satisfaction with technology-supporting smart cities. The focus of this research was on the scenario where technology was introduced by the government to support the development of smart cities, and where citizens ‘do not have a choice’ and are ‘pushed’ to use them. The research contributes a model for assessing the role of satisfaction in enhancing the net benefits of smart city technologies on the lives of citizens, as well as the change in individuals’ behaviour towards smart city technologies when they are ‘pushed’ for use. The findings provided insights to enable policy makers to implement smart cities in developing countries while ensuring the satisfaction of the users. Originality/value – The originality of this research is centred around determining how satisfied citizens are with smart cities and the net benefit of smart cities within a developing country (Kuwait) context. The research is also unique in that it examines the role of citizens’ satisfaction in changing their behaviour towards ‘push’ technology within smart cities. Theoretical Contributions – This study examined the factors that led to acceptance of smart cities in Kuwait. Hence, this study used the theories related to user acceptance of technology and added to its trust in provider. Previous studies have examined trust as a broad concept. Moreover, this study incorporated the push theory and also examined the change in user behavior, which was not examined in earlier studies

Off and Online Journalism and Corruption

This book provides a new theoretical framework of determinants that interact together in five hierarchical levels to restrain or produce corruption. The theory suggests a multilevel analysis that tests hypotheses regarding the relations of journalism and corruption within each level and across levels in international comparative research designs. Corruption as the abuse of power for private gain is built into the journalistic, economic, political, and cultural structures of any society and is affected by its interaction within the international system. The important questions of how differences in corruption across countries can be explained or what makes it more or less in a particular society and how press freedom and social media contribute to the fight against corruption are still unanswered. This book represents a significant contribution on the way to answer these critical questions. It discusses a variety of journalism-corruption experiences that provide a wealth of results and analyses. The cases it examines extend from Cuba to Algeria, India, Saudi Arabia, Sub-Saharan African, Gulf Cooperation Countries, Arab World, and Japan. The primary contribution of this book is both theoretical and empirical. Its details as well as the general theoretical frameworks make it a useful book for scholars, academics, undergraduate and graduate students, journalists, and policy makers