Machine learning approaches to predict electricity production from renewable energy sources

A Krechowicz, M Krechowicz, K Poczeta - Energies, 2022 - mdpi.com
Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …

Data analytics for project delivery: unlocking the potential of an emerging field

Y Shen, N Brookes, L Lattuf Flores… - International Journal of …, 2024 - emerald.com
Purpose In recent years, there has been a growing interest in the potential of data analytics
to enhance project delivery. Yet many argue that its application in projects is still lagging …

A multi-label text message classification method designed for applications in call/contact centre systems

K Poczeta, M Płaza, T Michno, M Krechowicz… - Applied Soft …, 2023 - Elsevier
This paper presents a system for multi-label classification of text data processed in
Call/Contact Centre (CC) systems. The solution presented herein constitutes a significant …

Reduction of the risk of inaccurate prediction of electricity generation from PV farms using machine learning

M Krechowicz, A Krechowicz, L Lichołai, A Pawelec… - Energies, 2022 - mdpi.com
Problems with inaccurate prediction of electricity generation from photovoltaic (PV) farms
cause severe operational, technical, and financial risks, which seriously affect both their …

[HTML][HTML] Machine learning approach to gait deviation prediction based on isokinetic data acquired from biometric sensors

A Krechowicz, S Deniziak, D Kaczmarski - Gait & posture, 2023 - Elsevier
Background: Analyzing gait deviation is one of the crucial factors during the diagnosis and
treatment of children with Cerebral Palsy (CP). The typical diagnostic procedure requires an …

Comprehensive risk management in passive buildings projects

M Krechowicz, JZ Piotrowski - Energies, 2021 - mdpi.com
Nowadays, we can observe a growing interest in passive buildings due to global climate
change, environmental concerns, and growing energy costs. However, developing a …

Risk and opportunity assessment model for CSR initiatives in the face of coronavirus

M Krechowicz, K Kiliańska - Sustainability, 2021 - mdpi.com
This paper concerns an important and current problem of taking Corporate Social
Responsibility (CSR) initiatives in the specific market conditions of the COVID-19 pandemic …

Towards sustainable project management: evaluation of relationship-specific risks and risk determinants threatening to achieve the intended benefit of …

M Krechowicz - Sustainability, 2022 - mdpi.com
Nowadays, we can observe a growing number of investment projects in the construction
industry and environmental engineering, as well as a growing interest in socially …

[HTML][HTML] Application of machine learning in geotechnical engineering for risk assessment

AA Firoozi, AA Firoozi - 2023 - intechopen.com
Within the domain of geotechnical engineering, risk assessment is pivotal, acting as the
linchpin for the safety, durability, and resilience of infrastructure projects. While traditional …

Passive Buildings—Big Opportunities or Big Risks? Quantitative Risk Assessment for Passive Buildings Projects

M Krechowicz, A Krechowicz - Sustainability, 2024 - mdpi.com
The building sector contributes significantly to global final energy consumption and energy-
related CO2 emissions. The demand for sustainable and energy-efficient passive buildings …