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Browsing by Author "Zakordonets, Oleksandr"

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  • A COVID-19 time series forecasting model based on MLP ANN
    Publication . Borghi, Pedro Henrique; Zakordonets, Oleksandr; Teixeira, João Paulo
    With the accelerated spread of COVID-19 worldwide and its potentially fatal effects on human health, the development of a tool that effectively describes and predicts the number of infected cases and deaths over time becomes relevant. This makes it possible for administrative sectors and the population itself to become aware and act more precisely. In this work, a machine learning model based on the multilayer Perceptron artificial neural network structure was used, which effectively predicts the behavior of the series mentioned in up to six days. The model, which is trained with data from 30 countries together in a 20-day context, is assessed using global and local MSE and MAE measures. For the construction of training and test sets, four time series (number of: accumulated infected cases, new cases, accumulated deaths and new deaths) from each country are used, which are started on the day of the first confirmed infection case. In order to soften the sudden transitions between samples, a moving average filter with a window size 3 and a normalization by maximum value were used. It is intended to make the model's predictions available online, collaborating with the fight against the pandemic.
    2021Conference paper Open access Show more
  • Indoor climate control based on blinds
    Publication . Zakordonets, Oleksandr; Matos, Paulo; Ribeiro, Luís Frölén
    In modern society, people spend around 90% of their time in buildings, thus indoor lighting condition plays an important role in determining inhabitants’ mood and health, as well as visual comfort. Window blinds and shading are ideal approaches to eliminate uncomfortable glare and save energy by utilizing natural daylight. In the work the following goals are defined 1) Getting the energy balance in closed rooms; 2) Given the energy balance from the 1, implement the decision procedure to close or open the blinds without human involvement; 3) Implement solution to identify human presence; 4) Identify humans to get the preferences; 5) Given the energy balance from the 1 and the human presence from 3, make a decision to close or open the blinds with human presence
    2022Master thesis Open access Show more