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An exploratory analysis of PM2.5/PM10 ratio during spring 2016–2018 in Metropolitan Lima por Cabello-Torres, Rita Jaqueline, Carbo‐Bustinza, Natalí, Romero-Cabello, Edison Alessandro, Ureta Tolentino, Jeremias Macias, Torres Armas, Elías A., Turpo Chaparro, Josue Edison, Canas Rodrigues, Paulo, López Gonzales, Javier Linkolk

“…Overall, there was an average PM 2.5 /PM 10 ratio of 0.33 with fluctuations from 0.30 to 0.35. …”
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Electricity Demand Forecasting Using a Novel Time Series Ensemble Technique por Iftikhar, Hasnain, Mancha Gonzales, Salvatore, Zywiołek, Justyna, López Gonzales, Javier Linkolk

“…Therefore, this research proposes a novel time series ensemble approach to forecast electric power demand in the Peruvian electricity market one month ahead. …”
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Analysis and forecasting of electricity prices using an improved time series ensemble approach: an application to the Peruvian electricity market por Mancha Gonzales, Salvatore, Iftikhar, Hasnain, López Gonzales, Javier Linkolk

Materias: “…a novel time series ensemble approach…”
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Multi-step ahead ozone level forecasting using a component-based technique: A case study in Lima, Peru por Quispe, Flor, Salcedo, Eddy, Iftikhar, Hasnain, Zafar, Aimel, Khan, Murad, Turpo Chaparro, Josue Edison, Rodrigues, Paulo Canas, López Gonzales, Javier Linkolk

“…The focus is on developing precise forecasting models to anticipate ozone concentrations, providing timely information for adequate public health protection and environmental management. This work used hourly O$ _{3} $ data in metropolitan areas for multi-step-ahead (one-, two-, three-, and seven-day-ahead) O$ _{3} $ forecasts. …”
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Forecasting stock prices using a novel filtering-combination technique: Application to the Pakistan stock exchange por Iftikhar, Hasnain, Khan, Murad, Turpo Chaparro, Josue Edison, Rodrigues, Paulo Canas, López Gonzales, Javier Linkolk

“…The proposed filtering-combination technique is applied to Pakistan&apos;s daily stock market price index data from January 2, 2013 to February 17, 2023. To assess the proposed forecasting methodology&apos;s performance in terms of model consistency, efficiency and accuracy, we analyze models in different data set ratios and calculate four mean errors, correlation coefficients and directional mean accuracy. …”
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A Flat-Hierarchical Approach Based on Machine Learning Model for e-Commerce Product Classification por Cotacallapa, Harold, Saboya Rios, Nemias, Canas Rodrigues, Paulo, Salas, Rodrigo, López Gonzales, Javier Linkolk

“…This hybrid approach model performs better than models using a single approach. It surpassed the top-performing flat approach model by 0.15% and outperformed the leading local approach (Local Classifier per Level) model by 4.88%, as measured by the weighted F1-score. …”
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Self-Organizing Topological Multilayer Perceptron: A Hybrid Method to Improve the Forecasting of Extreme Pollution Values por López Gonzales, Javier Linkolk, Gómez Lamus, Ana María, Torres, Romina, Canas Rodrigues, Paulo, Salas, Rodrigo

“…Focusing the forecast on air pollution peaks is challenging and complex since the pollutant time series behavior is not regular and is affected by several environmental and urban factors. In this study, we propose a new hybrid method based on artificial neural networks to forecast daily extreme events of PM2.5 pollution concentration. …”
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Short-Term Forecasting of Ozone Concentration in Metropolitan Lima Using Hybrid Combinations of Time Series Models por Carbo‐Bustinza, Natalí, Iftikhar, Hasnain, Belmonte, Marisol, Cabello-Torres, Rita Jaqueline, Huaman de la Cruz, Alex Ruben, López Gonzales, Javier Linkolk

“…The most effective hybrid models for the ATE, Campo de Marte, San Borja, and Santa Anita stations were identified based on their superior out-of-sample forecast results, as measured by RMSE (4.611, 3.637, 1.495, and 1.969), RMSPE (4.464, 11.846, 1.864, and 15.924), MAE (1.711, 2.356, 1.078, and 1.462), and MAPE (14.862, 20.441, 7.668, and 76.261) errors. …”
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Day-Ahead Electricity Demand Forecasting Using a Novel Decomposition Combination Method por Iftikhar, Hasnain, Turpo Chaparro, Josue Edison, Canas Rodrigues, Paulo, López Gonzales, Javier Linkolk

“…To that end, we use the three proposed decomposition methods to divide the electricity demand time series into the following subseries: a long-run linear trend, a seasonal trend, and a stochastic trend. …”
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Forecasting Day-Ahead Electricity Prices for the Italian Electricity Market Using a New Decomposition—Combination Technique por Iftikhar, Hasnain, Turpo Chaparro, Josue Edison, Canas Rodrigues, Paulo, López Gonzales, Javier Linkolk

“…The proposed decomposition–combination forecasting technique is applied to hourly spot electricity prices from the Italian electricity-market data from 1 January 2014 to 31 December 2019. Hence, four different accuracy mean errors—mean absolute error, mean squared absolute percent error, root mean squared error, and mean absolute percent error; a statistical test, the Diebold–Marino test; and graphical analysis—are determined to check the performance of the proposed decomposition–combination forecasting method. …”
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Forecasting Day-Ahead Brent Crude Oil Prices Using Hybrid Combinations of Time Series Models por Iftikhar, Hasnain, Zafar, Aimel, Turpo Chaparro, Josue Edison, Canas Rodrigues, Paulo, López Gonzales, Javier Linkolk

“…The proposed modeling framework is applied to daily Brent spot prices from 1 January 2013 to 27 December 2022. Six different accuracy metrics, pictorial analysis, and a statistical test are performed to verify the proposed methodology’s performance. …”
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Multiple Novel Decomposition Techniques for Time Series Forecasting: Application to Monthly Forecasting of Electricity Consumption in Pakistan por Iftikhar, Hasnain, Bibi, Nadeela, Canas Rodrigues, Paulo, López Gonzales, Javier Linkolk

“…However, the properties of these time series are so complex that they are difficult to model directly. …”
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Spatio-temporal visualization and forecasting of PM10 in the Brazilian state of Minas Gerais por da Silva, Kim Leone Souza, López Gonzales, Javier Linkolk, Turpo Chaparro, Josue Edison, Tocto Cano, Esteban, Rodrigues, Paulo Canas

“…To better understand its behavior, we will provide a spatio-temporal visualization of the [Formula: see text] concentrations. …”
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Solid Waste Management in Peru’s Cities: A Clustering Approach for an Andean District por Quispe, Katherine, Martínez, Mayra, da Costa, Kleyton, Romero Giron, Hilario, Via y Rada Vittes, Jose Francisco, Mantari Mincami, Lizet Doriela, Hadi Mohamed, Mohamed Mehdi, Huaman de la Cruz, Alex Ruben, López Gonzales, Javier Linkolk

“…Through clustering, zones A and B are highly correlated, reflecting that the amount of organic waste was greater than inorganic waste. …”
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A machine learning approach to analyse ozone concentration in metropolitan area of Lima, Peru por Carbo-Bustinza, Natalí, Belmonte, Marisol, Jimenez, Vasti, Montalban, Paula, Rivera, Magiory, Gutiérrez Martínez, Fredi, Mohamed, Mohamed Mehdi Hadi, Huaman de la Cruz, Alex Ruben, da Costa, Kleyton, López Gonzales, Javier Linkolk

“…Likewise, in an hourly scale analysis, the pollution peaks were reported at 00:00 and 14:00. Finally, the machine learning models that showed the best predictive capacity for adjusting the ozone concentration were the linear regression and support vector machine.…”
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Visual-Predictive Data Analysis Approach for the Academic Performance of Students from a Peruvian University por Orrego Granados, David, Ugalde, Jonathan, Salas, Rodrigo, Torres, Romina, López Gonzales, Javier Linkolk

“…Specifically, a trained XGBoost Machine Learning model achieved a performance of up to 91.5% Accuracy. …”
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Spanish translation and validation of the &quot;Music@Home&quot; scale to evaluate music exposure at home and children&apos;s interaction por Piñango-Hernández, Daniel José, Palomino-Celis, Elena, Turpo Chaparro, Josue Edison, Malca Peralta, Segundo Salatiel

“…In contrast, the one-dimensional model with 7 items presented an acceptable fit (CFI=0.95; RMSEA=0.08) and high internal consistency (α=0.87; ω=0.86). …”
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Relación entre el tecnoestrés y objetivos académicos en universitarios peruanos por Verde-Avalos, Emilyn, Livia-Segovia, José, Malca Peralta, Segundo Salatiel, Turpo Chaparro, Josue Edison

“…The regression model explained 12.5% of the variability in goal orientation, highlighting the negative effects of technological skills-demands (B = -0.228) and interpersonal relationships (B = -0.173). …”
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Inteligencia emocional y estrés familiar como factores predictores de la satisfacción con los estudios en universitarios por Malca Peralta, Segundo Salatiel, Velarde Ruiz, Rosa Marilú, Alarcón Lescano, Hilda Raquel

“…Resultados. Al realizar el procesamiento estadístico se evidenció que el estrés familiar posee un coeficiente beta estandarizado β=-,116; p&lt;.05, lo cual tiene una predicción indirecta, baja y estadísticamente significativa, dicho de otra manera, mientras mayor sea el estrés familiar, menor será la satisfacción con los estudios. …”
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Dependencia a videojuegos como predictor de agresividad en adolescentes de Lima Este durante el confinamiento por la COVID-19 por Gómez Alvarez, Iveth, Yañacc Pacuri, Dilma, Malca Peralta, Segundo Salatiel, Morales Garcia, Wilter Charming

Materias: “…COVID-19…”
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