Berny Carrera

Incheon National University — South Korea

Engineering · Physical Sciences

9h-index453citations15works6.02yr avg
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Research Topics

Energy Load and Power Forecasting(6), Solar Radiation and Photovoltaics(4), Traffic Prediction and Management Techniques(4), Complex Network Analysis Techniques(3), Photovoltaic System Optimization Techniques(3)

Publications15 total

Comparative Analysis of Machine Learning Techniques in Predicting Wind Power Generation: A Case Study of 2018–2021 Data from Guatemala
Energies·2024· 12 citedOpen Access
Deep Learning-Based Approach for Short-Term Solar Power Forecasting
Springer proceedings in earth and environmental sciences·2024
A Regression Framework for Energy Consumption in Smart Cities with Encoder-Decoder Recurrent Neural Networks
Energies·2023· 6 citedOpen Access
Environmental sustainability: A machine learning approach for cost analysis in plastic recycling classification
Resources Conservation and Recycling·2023· 36 cited
Sustainable Smart University: A Short-Term Deep Learning Framework for Energy Consumption Forecast
International Journal of Machine Learning·2023Open Access
A machine learning based classification models for plastic recycling using different wavelength range spectrums
Journal of Cleaner Production·2022· 75 cited
Meta-regression framework for energy consumption prediction in a smart city: A case study of Songdo in South Korea
Sustainable Cities and Society·2021· 38 cited
Comparison Analysis of Machine Learning Techniques for Photovoltaic Prediction Using Weather Sensor Data
Sensors·2020· 64 citedOpen Access
PVHybNet: a hybrid framework for predicting photovoltaic power generation using both weather forecast and observation data
IET Renewable Power Generation·2020· 31 cited
SentiFlow: An Information Diffusion Process Discovery Based on Topic and Sentiment from Online Social Networks
Sustainability·2018· 9 citedOpen Access
An architecture for emergency event prediction using LSTM recurrent neural networks
Expert Systems with Applications·2017· 167 cited
DISCOVERY OF GATEKEEPERS ON INFORMATION DIFFUSION FLOWS USING PROCESS MINING
International journal of industrial engineering·2016· 2 citedOpen Access
Decision Points Analysis in Business Process using Process Mining
대한산업공학회 춘계공동학술대회 논문집·2016
Discovering Information Diffusion Processes Based on Hidden Markov Models for Social Network Services
Lecture notes in business information processing·2015· 3 cited
Constructing Probabilistic Process Models Based on Hidden Markov Models for Resource Allocation
Lecture notes in business information processing·2015· 10 cited

Frequent Co-authors

Kwanho Kim(8), Jae‐Yoon Jung(7), Victor Luid Piñol(2), Judit Bazin Mata(2), Bitzel Cortez(1), Young Jin Kim(1), Suzanne Peyrard(1), Min Kyu Sim(1), JinSung Lee(1), Jinsung Lee(1), Josue Obregon(1)