Optimal site selection using multi-criteria decision analysis (MCDA) is an important step to support decision makers to locate places that benefit the maximum potential of technology's preconditions. As a new, emerging and renewable technology in Brazil, concentrated solar power (CSP) plays an important role in power generation mix, and it’s crucial to indicate the viability of Brazilian regions to CSP power plants. To achieve this goal, a detailed workflow of multi-criteria analysis based on geographic information system (GIS based AHP) is set in free software, in which criteria are selected from literature, acquired as geospatial data, weighted with parity matrices through online questionnaires filled by experts, processed on QGIS with weighted linear combination (WLC), and the results validated by its AHP consistency, thematic accuracy and comparative analysis with VIKOR and TOPSIS methodologies. As a product, sites are mapped according to viability indices, with higher values in most of Northeast, Central-west and Southeast regions of Brazil, showing good stability by its validation. Thereby, the workflow with free software allows the methodology to be replicated to support decision makers in locating viable and restrictive places for technologies.

Planning the construction of an offshore wind power plant involves balancing design details that affect both technical and financial viability. The electrical balance of plant is a significant part of installation costs, and modeling it can help developers optimize solutions and reduce expenses. This paper presents an approach to model the electrical balance of plant, including inter-array cable routing and sizing, the number and size of HVAC and HVDC export cables, optimized reactive power compensation, offshore and onshore equipment, and grid connection transmission line. The model also accounts for the physical dimensions and weight of offshore and onshore substation components that are significant information for planning further steps such as the constructibility and foundation. This approach is part of CPE-Offshore, software designed to support decision-making for Brazilian offshore wind farms, considering 60 Hz 138 kV and 230 kV HVAC transmission voltages. A generic 1920 MW Brazilian wind farm located 65 km from shore is used as a case study to demonstrate results for different numbers of offshore substations. Additionally, a sensitivity analysis explores reactor combinations and cost comparisons between HVAC and HVDC systems for various plant capacities and distances to the coast. The results indicate a break-even distance of up to 180 km and the most suitable combinations to be evaluated for a 60 Hz system to avoid waste of computational time. This electrical balance of plant approach can be applied to plan an offshore wind power plant in other regions worldwide.

Este artigo propõe uma metodologia para análise de viabilidade técnica e econômica, para o fornecimento de rede privada 5G como serviço no mercado brasileiro, auxiliando o investidor na decisão para produção em escala comercial, com estudo de aplicação dentro do contexto de implementação da rede 5G no Brasil. Inicia-se o processo com a prospecção de usuário do segmento Business-to-Business (B2B), onde é realizado o levantamento das informações dos clientes, com base nestas informações é realizado o estudo de viabilidade técnica, buscando-se Estações rádio base (ERB’s) próximas para realizar o atendimento, na sequencia são levantados os custos de instalação, configuração e operação de uma rede privada 5G. Desenvolveu-se uma Demonstração do resultado do exercício (DRE) específica para este estudo de caso. Avalia-se então a viabilidade econômico-financeira do projeto para verificar se há rentabilidade e por meio de índices financeiros avalia-se inclusive uma viabilidade probabilista onde se analisa o mínimo cenário viável para comercialização. Ao final desta etapa, se realiza o estudo de caso do projeto com base nas premissas pré-estabelecidas durante a viabilidade técnica do projeto para o fornecimento de uma rede privada 5G. Após a implementação do projeto se sugere aplicações e planos de acordo com as necessidades do usuário final. O modelo comercial do serviço implementado se mostrou economicamente viável mesmo após adoção de cenários com alto investimento em Capex e Opex. Espera-se que contribua para o desenvolvimento de estratégias mais eficazes para o fornecimento de redes privadas 5G no mercado brasileiro de telecomunicações.

This article presents an innovative approach for efficiently extracting data from invoices and bills through the integration of image processing, YOLO (You Only Look Once), and OCR Tesseract. Initially, a preprocessing step can be performed to enhance the quality and uniformity of the documents. Next, object detection using YOLO is applied to identify regions of interest in the invoices and bills, such as value fields, dates, and identifiers. Subsequently, OCR Tesseract is employed to perform text extraction in these identified regions. Real data from judicial deposit slips of the Court of Justice of the State of Paraná (Brazil) were used to train and test the effectiveness of the method. Experimental results demonstrate the effectiveness of the proposed approach, achieving high data extraction accuracy rates, making it a promising solution for automating processes related to financial document management. In the study, a total of 1,000 images were submitted for identification, with a total processing time of 39 minutes and 55 seconds. The system successfully extracted 469 accounts, achieving a final prediction accuracy of 99.20%. Additionally, the method has been made available as a system on GitHub, facilitating its use and contributions by the developer community.

Maintenance activities on electric power distribution networks are an essential tool in achieving a robust electricity supply system that meets society's needs. Regulation indicators require distribution companies to invest in maintenance and frequently maintain their networks. However, current maintenance activities are executed using fossil fuel-powered trucks equipped with aerial baskets and without route planning, resulting in high travel costs. The advent of new technologies, such as electric trucks, raises questions about their feasibility in replacing fossil fuel-powered trucks. In this study, we propose a routing methodology for an electric truck equipped with an aerial basket that performs maintenance activities in electric power distribution networks, aiming to reduce operational costs. The methodology utilized is an extension of the electric travelling salesman problem with time windows, considering partial charging and work schedules. Tests were conducted in the cities of Mairiporã and Atibaia, in the state of São Paulo, analyzing the electric truck travel limits based on battery autonomy and the need for intermediate recharges. The analysis compares electric trucks and regular trucks using an implemented methodology. The results show that the shortest possible route was achieved, all planned activities were completed, and the need for intermediate recharges was identified