Eliana Vivas

Emaileliana.vivasuaicl

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Research activity per year

Research Interests

My line of research focuses on the development of hybrid models that integrate statistics and artificial intelligence, especially neural networks and wavelets, to solve complex prediction problems in time series. I have applied these approaches in sectors such as energy, environment and finance, seeking to generate useful knowledge for sustainable decision making with impact on public policy.

Key Words

Artificial Intelligence, Time Series, Predictive Modeling, Wavelets, Applied Statistics, Energy

Profession

Statistic, Universidad de Oriente 2009

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3 Article
1 Review article

Long Short-Term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting
Vivas, E., Allende-Cid, H., Guenni, L. B. D., Bariviera, A. F. & Salas, R., 2025, In: International Journal of Intelligent Systems. 2025, 1, 8890906.
Research output: Contribution to journal › Article › peer-review

Open Access
2 Scopus citations
Deep Lagged-Wavelet for monthly rainfall forecasting in a tropical region
Vivas, E., de Guenni, L. B., Allende-Cid, H. & Salas, R., Mar 2023, In: Stochastic Environmental Research and Risk Assessment. 37, 3, p. 831-848 18 p.
Research output: Contribution to journal › Article › peer-review
13 Scopus citations
A systematic review of statistical and machine learning methods for electrical power forecasting with reported mape score
Vivas, E., Allende-Cid, H. & Salas, R., Dec 2020, In: Entropy. 22, 12, p. 1-24 24 p., 1412.
Research output: Contribution to journal › Review article › peer-review

Open Access
111 Scopus citations
Polynomial and wavelet-type transfer function models to improve fisheries' landing forecasting with exogenous variables
Vivas, E., Allende-Cid, H., Salas, R. & Bravo, L., 1 Nov 2019, In: Entropy. 21, 11, 1082.
Research output: Contribution to journal › Article › peer-review

Open Access
10 Scopus citations

Findings from Pontifical Catholic University Provides New Data on Renewable Energy (Long Short-term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting)
Vivas, E.
26/02/25
1 item of Media coverage
Press/Media

Eliana Vivas, PhD

Personal profile

Research Interests

Key Words

Profession

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Long Short-Term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting

Deep Lagged-Wavelet for monthly rainfall forecasting in a tropical region

A systematic review of statistical and machine learning methods for electrical power forecasting with reported mape score

Polynomial and wavelet-type transfer function models to improve fisheries' landing forecasting with exogenous variables

Findings from Pontifical Catholic University Provides New Data on Renewable Energy (Long Short-term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting)

Eliana Vivas, PhD

Personal profile

Research Interests

Key Words

Profession

Fingerprint

Collaborations and top research areas from the last five years

Research output

Long Short-Term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting

Deep Lagged-Wavelet for monthly rainfall forecasting in a tropical region

A systematic review of statistical and machine learning methods for electrical power forecasting with reported mape score

Polynomial and wavelet-type transfer function models to improve fisheries' landing forecasting with exogenous variables

Press/Media

Findings from Pontifical Catholic University Provides New Data on Renewable Energy (Long Short-term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting)