Forecasting day-ahead electricity prices for the Italian electricity market using a new decomposition—combination technique

H Iftikhar, JE Turpo-Chaparro, P Canas Rodrigues… - Energies, 2023 - mdpi.com
Over the last 30 years, day-ahead electricity price forecasts have been critical to public and
private decision-making. This importance has increased since the global wave of …

Face mask exposure to environmental conditions: In situ physical and chemical degradation and interaction with marine organisms

DC Dioses-Salinas, CI Pizarro-Ortega… - Regional Studies in …, 2023 - Elsevier
It is widely recognized that the measures adopted during the pandemic resulted in a
significant number of face masks entering marine environments. One key aspect is to …

Short-term forecasting of Ozone concentration in metropolitan Lima using hybrid combinations of time series models

N Carbo-Bustinza, H Iftikhar, M Belmonte… - Applied Sciences, 2023 - mdpi.com
In the modern era, air pollution is one of the most harmful environmental issues on the local,
regional, and global stages. Its negative impacts go far beyond ecosystems and the …

Day-Ahead Electricity Demand Forecasting Using a Novel Decomposition Combination Method

H Iftikhar, JE Turpo-Chaparro, P Canas Rodrigues… - Energies, 2023 - mdpi.com
In the present liberalized energy markets, electricity demand forecasting is critical for
planning of generation capacity and required resources. An accurate and efficient electricity …

A machine learning approach to analyse ozone concentration in metropolitan area of Lima, Peru

N Carbo-Bustinza, M Belmonte, V Jimenez… - Scientific Reports, 2022 - nature.com
The main objective of this study is to model the concentration of ozone in the winter season
on air quality through machine learning algorithms, detecting its impact on population …

A hybrid approach for hierarchical forecasting of industrial electricity consumption in Brazil

M Mesquita Lopes Cabreira, F Leite Coelho da Silva… - Energies, 2024 - mdpi.com
The Brazilian industrial sector is the largest electricity consumer in the power system. Energy
planning in this sector is important mainly due to its economic, social, and environmental …

COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach

D Uzun Ozsahin, E Precious Onakpojeruo… - Diagnostics, 2023 - mdpi.com
The novel coronavirus (COVID-19), also known as SARS-CoV-2, is a highly contagious
respiratory disease that first emerged in Wuhan, China in 2019 and has since become a …

An exploratory analysis of PM/PM ratio during spring 2016–2018 in Metropolitan Lima

RJ Cabello-Torres, N Carbo-Bustinza… - Scientific Reports, 2024 - nature.com
Abstract Aerosols (PM 2.5 and PM 10) represent one of the most critical pollutants due to
their negative effects on human health. This research analyzed the relationship of PM and its …

Self-Organizing Topological Multilayer Perceptron: A Hybrid Method to Improve the Forecasting of Extreme Pollution Values

JL López-Gonzales, AM Gómez Lamus, R Torres… - Stats, 2023 - mdpi.com
Forecasting air pollutant levels is essential in regulatory plans focused on controlling and
mitigating air pollutants, such as particulate matter. Focusing the forecast on air pollution …

Analysis of factors influencing air quality in different periods during COVID-19: A case study of Tangshan, China

WL Wu, CY Shan, J Liu, JL Zhao, JY Long - International Journal of …, 2023 - mdpi.com
This study aimed to analyze the main factors influencing air quality in Tangshan during
COVID-19, covering three different periods: the COVID-19 period, the Level I response …