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\documentclass{mycv}
\usepackage[hidelinks]{hyperref}
\usepackage{graphicx}
\usepackage{enumitem}
\usepackage{xcolor}
\definecolor{Mycolor2}{HTML}{3366CC}
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\begin{document}
\begin{center}
{\LARGE\textbf{José Ricardo Andrade}} \\
\vspace{0.30cm}
\ \textbf{jrsa2012@gmail.com}
\vspace{0.22cm}
\ \textbf{\href{https://itsjrsa.github.io}{\color{Mycolor2}{Personal Website} \ExternalLink }}
\vspace{0.2cm}
Porto~\textbullet \ Portugal
\vspace{0.22cm}
\end{center}
\begin{center}
\href{https://www.linkedin.com/in/itsjrsa}{\includegraphics[scale=0.055]{figs/linkedin_logo_label.png}}
\ \ \ \ \ \
\href{https://github.com/itsjrsa}{\includegraphics[scale=0.055]{figs/github_logo_label.png}}
\end{center}
\section{Experience}
\vspace{-0.1cm}
\worksubsection{INESC TEC - Institute for Systems and Computer Engineering, Technology and Science}
{Centre for Power and Energy Systems (CPES) }
{\textbullet~Research Assistant (grant) \hspace{0.38cm} @ \hspace{0.02cm} Energy Analytics and Forecasting Unit \hfill ~\textbf{\ July 2016 -- July 2018\ }}
{\textbullet~Contracted Researcher \hspace{1cm} @ \hspace{0.02cm} Energy Analytics and Forecasting Unit \hfill \textbf{ \ July 2018 -- Present\ }}
\vspace{0.4cm}
\section{Key Skills}
\begin{itemize}
\item \textbf{Natural Languages}: Portuguese and English proficient
\item \textbf{Programming Languages}:
\begin{itemize}
\item \textbf{Advanced:} Python (scikit-learn, pandas, numpy, statsmodels, tensorflow, seaborn, dash \& plotly, Pulp, Sphinx, Docker SDK, Flask, Django-REST Framework, Celery, pytest, loguru)
\item \textbf{Intermediate:} JavaScript (VueJS), Tex (\LaTeX)
\item \textbf{Basic:} GoLang, R, MATLAB, C, C++
\end{itemize}
\item \textbf{Databases}: PostgreSQL (+TimescaleDB), Apache Cassandra, SQLite
\item \textbf{Version control}: Git, GitHub/GitLab (CI/CD)
\item \textbf{Web Servers}: NGINX, Apache HTTP Webserver
\item \textbf{Message Brokers/Event Streaming}: RabbitMQ, Apache Kafka
\item \textbf{Virtualization}: Docker, Oracle VM VirtualBox
\item \textbf{OS}: macOS, Linux, Windows
\end{itemize}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\vspace{0.05cm}
\section{Education}{
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\datedsubsection{FEUP - Faculdade de Engenharia da Universidade do Porto}{2010--2016}
\textsc{M.Sc. Degree in Electrical and Computer Science Engineering}
\textit{Specialization in Renewable Energy}
\begin{myitemize}
% \setlength\itemsep{0.05cm}
\item Dissertation: Previs\~{a}o de Variabilidade de Produ\c{c}\~{a}o em Centrais Fotovolt\'{a}icas~\footnote{\url{https://repositorio-aberto.up.pt/handle/10216/82786}}
\begin{myitemize}
\item Classification: 19 (in a scale of 1 to 20)
\end{myitemize}
\end{myitemize}
\vspace{-0.2cm}
\datedsubsection{Academia de M\'{u}sica de S\~{a}o Jo\~{a}o da Madeira}{1998--2010}
\textsc{Beginner - Advanced Musical Education \& Piano Classes}
\vspace{0.3cm}
\pagebreak
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\vspace{0.3cm}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\section{Projects}
\vspace{0.15cm}
\begin{myitemize}
% ------
\item \textit{\textbf{ENERSHARE} - The Energy Data Space for Europe}
\begin{itemize}
\item \textbf{Task (1):} Integration of data-driven services in cross-sector data space.
\item \textbf{Task (2):} Development and integration of ENERSHARE Data Sharing/Barter Incentive Module.
\item \textbf{Technologies:} Python, PostgreSQL, Apache Cassandra, Django-REST Framework.
\end{itemize}
% ------
\item \textit{\textbf{InterConnect} - Interoperable Solutions Connecting Smart Homes, Buildings and Grids}
\begin{itemize}
\item \textbf{Task (1):} End-to-end implementation and demonstration of an interoperable data-driven IoT ecosystem to define tariff discounts for indirect control of EV charging.
\item \textbf{Task (2):} Integration of tools to forecast supermarkets cold storage flexibility.
\item \textbf{Technologies:} Python, PostgreSQL, Django-REST Framework, NGINX, SFTP, Docker.
\end{itemize}
% ------
\vspace{0.15cm}
\item \textit{\textbf{AI4Substation (R\&D Contract)}} - E-REDES
\begin{itemize}
\item \textbf{Task:} Conceptualization and development of data-driven decision support system for E-REDES dispatch centre operators, based on SCADA eventlog data.
\item \textbf{Technologies:} Python, PostgreSQL, Flask, VueJS, Docker.
\end{itemize}
% ------
\vspace{0.15cm}
\item \textit{\textbf{GPDER - Grid Predictive Management Considering Distributed Energy Resources}}
\begin{itemize}
\item \textbf{Task:} Development of a forecasting platform for MV and LV distribution networks loads.
\item \textbf{Technologies:} Python, Apache Cassandra, NGINX, Flask, Apache Kafka, Docker.
\end{itemize}
% ------
\vspace{0.15cm}
\item \textit{\textbf{TSOLoadForecasting (R\&D Contract)}} - Austrian Power Grid (APG)
\begin{itemize}
\item \textbf{Task:} Research of statistical learning algorithms for load forecasting.
\item \textbf{Technologies:} Python, \LaTeX.
\end{itemize}
% ------
\vspace{0.15cm}
\item \textit{\textbf{InteGrid (EU H2020)} - INTElligent grid technologies for renewables INTEgration and INTEractive consumer participation enabling INTEroperable market solutions and INTErconnected stakeholders}
\begin{itemize}
\item \textbf{Task:} Development and integration of a forecasting platform for MV and LV distribution networks loads and MIBEL spot electricity prices.
\item \textbf{Technologies:} Python, Apache Cassandra, RabbitMQ, Celery, NGINX, Docker
\end{itemize}
% ------
\vspace{0.15cm}
\item \textit{\textbf{LPVAnalytics (R\&D Contract)}} - Elergone Energias, Lda.
\begin{itemize}
\item \textbf{Task:} Conceptualization, development and integration of the end-to-end forecasting platform for load and solar resources of Elergone Energias.
\item \textbf{Technologies:} Python, VueJS, PostgreSQL(+TimescaleDB), NGINX, Docker.
\end{itemize}
% ------
\vspace{0.15cm}
\item \textit{\textbf{FEEdBACk (EU H2020)} - Fostering Energy Efficiency and BehAvioural Change through ICT}
\begin{itemize}
\item \textbf{Task:} Conceptualization and development of an end-to-end forecasting service for photovoltaic energy generation resources.
\item \textbf{Technologies:} Python, Flask, NGINX, Docker.
\end{itemize}
% ------
\vspace{0.15cm}
\item \textit{\textbf{SOLAR4DR (R\&D Contract)} - EFACEC}
\begin{itemize}
\item \textbf{Task:} Development of an end-to-end forecasting service for solar energy generation;
\item \textbf{Technologies:} Python, Flask, Apache HTTP Server, Docker;
\end{itemize}
% ------
\vspace{0.15cm}
\item \textit{\textbf{CORAL (N2020)} - Sustainable Ocean Exploitation: Tools and Sensors}
\begin{itemize}
\item \textbf{Task:} State of art research with regard to offshore energy conversion technologies and future hybrid systems opportunities. Development of a multi-temporal energy management tool (mixed-integer linear programming) - supported by forecasting models capable to define the best operational strategy for the energy storage/consumption of envisioned maritime exploratory processes
\item \textbf{Technologies:} Python, Flask
\end{itemize}
\end{myitemize}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%5
\section{Publications}
\vspace{0.4cm}
\subsection{Journals}
\begin{enumerate}
\item Campos, V., Klyagina, O., Andrade, J.R., Bessa, R.J. and Gouveia, C., 2024. ML-assistant for human operators using alarm data to solve and classify faults in electrical grids. Electric Power Systems Research, 236, p.110886.
\item Bessa, R.J., Moaidi, F., Viana, J. and Andrade, J.R., 2023. Uncertainty-aware procurement of flexibilities for electrical grid operational planning. IEEE Transactions on Sustainable Energy.
\item Andrade, J.R., Rocha, C., Silva, R., Viana, J.P., Bessa, R.J., Gouveia, C., Almeida, B., Santos, R.J., Louro, M., Santos, P.M. and Ribeiro, A.F., 2022. Data-driven anomaly detection and event log profiling of SCADA alarms. IEEE Access, 10, pp.73758-73773.
\item Potenciano Menci, S., Bessa, R.J., Herndler, B., Korner, C., Rao, B.V., Leimgruber, F., Madureira, A.A., Rua, D., Coelho, F., Silva, J.V. and Andrade, J.R., 2021. Functional scalability and replicability analysis for smart grid functions: the InteGrid project approach. Energies, 14(18), p.5685.
\item Coronati, A., Andrade, J.R. and Bessa, R.J., 2021. A deep learning method for forecasting residual market curves. Electric Power Systems Research, 190, p.106756.
\item Soares, F., Madureira, A., Pages, A., Barbosa, A., Coelho, A., Cassola, F., Ribeiro, F., Viana, J., Andrade, J., Dorokhova, M. and Morais, N., 2021. Feedback: An ICT-based platform to increase energy efficiency through buildings’ consumer engagement. Energies, 14(6), p.1524.
\item Andrade, J.R., Filipe, J., Reis, M. and Bessa, R.J., 2017. Probabilistic price forecasting for day-ahead and intraday markets: Beyond the statistical model. Sustainability, 9(11), p.1990.
\item Andrade, J.R. and Bessa, R.J., 2017. Improving renewable energy forecasting with a grid of numerical weather predictions. IEEE Transactions on Sustainable Energy, 8(4), pp.1571-1580.
\end{enumerate}
\subsection{International Conferences}
\begin{enumerate}
\item Silva, C.A., Andrade, J.R., Bessa, R.J. and Lobo, F., 2024, June. Dynamic Pricing in EV Charging Stations with Renewable Energy and Battery Storage. In 2024 20th International Conference on the European Energy Market (EEM) (pp. 1-7). IEEE.
\item Silva, A.R., Fidalgo, J.N. and Andrade, J.R., 2023, June. Easing Predictors Selection in Electricity Price Forecasting with Deep Learning Techniques. In 2023 19th International Conference on the European Energy Market (EEM) (pp. 1-6). IEEE.
\item Aleixo, A.C., Jorge, R.D., Gomes, F., Antunes, L., Barraca, J.P., Carvalho, R., Antunes, M., Gomes, D., Gouveia, C., Carrapatoso, A. and Alves, E., 2023. Challenges and considerations for the design and implementation of a centralized protection and control solution for MV networks.
\item Viegas, P., Simões, J., Silva, P., Cabral, D., Gomes, M., Rodrigues, A., Gonçalves, L., Costa, C., Bessa, R., Pereira, J. and Benedicto, P., 2023. The next generation of ADMS functions for predictive management of DER. 27th International Conference on Electricity Distribution (CIRED 2023).
\item Campos, V., Andrade, J.R., Bessa, R.J. and Gouveia, C., 2022. ML-Assistant for human operators to solve faults and classify events complexity in electrical grids. 13th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER), Malta, 7-9 Nov. 2022.
\item Almeida, B., Santos, R.J., Louro, M., Santos, P.M., Ribeiro, A.F., Bessa, R.J., Gouveia, C., Andrade, J.R., Silva, R.E., Rocha, C.N. and Viana, J.P., 2021, September. INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE ON SCADA DATA. In CIRED 2021-The 26th International Conference and Exhibition on Electricity Distribution (Vol. 2021, pp. 1265-1269).
\item André, R., Lopes, D., Fonseca, D., Almeida, B., Bessa, R.J., Madureira, A., Simões, M., Silva, J., Sampaio, G., Andrade, J. and Viana, J., 2020, September. InteGrid pilot in Portugal: Smart grid based flexibility management tools for LV and MV predictive grid operation. In Proceedings of the CIRED Berlin 2020 Workshop, Berlin, Germany (pp. 22-23).
\item Coronati A., Andrade J.R., Bessa R.J., "A deep learning method for forecasting residual market curves," in Proc. of the 21st Power Systems Computation Conference (PSCC 2020), 29 June-3 July 2020.
\item Bessa, R.J., Rua, D., Abreu, C., Machado, P., Andrade, J.R., Pinto, R., Gonçalves, C. and Reis, M., 2018, June. Data economy for prosumers in a smart grid ecosystem. In Proceedings of the Ninth International Conference on Future Energy Systems (pp. 622-630).
\item Reyes S., Bessa R.J., Andrade J.R., "Pronóstico de flujo de energía de olas," VI Congreso Nacional de Estudiantes de Energías Renovables (CNEER), Temixco, Mexico, 11-13 September 2018.
\item Gonçalves C., Andrade J.R., Bessa R.J., "Feature extraction techniques that improve wind power probabilistic forecasting," Wind Energy Science Conference 2017, Mini Symposia "Wind Power Forecasting", Technical University of Denmark, 26-29 June 2017.
\end{enumerate}
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\vspace{0.1cm}
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\section{Interests \& Hobbies}
Football, formula 1, music, movies, photography, games, podcasts, cryptocurrencies.
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\end{document}