Energy Forecasting

Robust and Automatic Forecasting Services for the Energy Industry

Our Services

Energy Demand

Short, Medium and Long Term

kWh Pricing

Optimize Revenue

Energy Generation

Distributed sources

Customized Models

Tailored made solution for your organization

Latest Projects

Energy Demand Forecasting for Residential Sectors

We built a robust forecasting platform  for all residential energy markets in Colombia with the best accuracy in the market. Let us work together to improve them!

Energy Demand Forecast for Comercial and Industry Sectors

We built a robust and with best-accuracy-in-the-market plaftorm for aggregated industry energy markets in Colombia. Let us improve them together!

Energy Demand Forecasting under COVID-19 Conditions

Under extremely atypical conditions, energy forecasting requires highly specific skills and ellaborate models. We have developed that for you.

We’ve Been Forecasting For Over 18 Years

guane’s scientific team has developed top research for over two decades.

Leonardo A. Pachon

Leonardo A. Pachon

CEO

Ph.D. in Physics. PostDoc at University of Toronto and Harvard University.  Top 15 most innovative Researchers and Entrepreneurs under 35 in Colombia. Top 10 Entrepreneurial Scientists in Colombia by ICETEX and the Swiss Embassy. 2015 and 2017 First Place of Universidad de Antioquia Research Prize. Young Scientist of the Year 2018 in Colombia chosen by The World Academy of Sciences.

Diego A. Mejia

Diego A. Mejia

CSO

Ph.D. in Electrical Engineering from Iowa State University. Fulbright Fellow.  Research Excellence Award at Iowa State University. Finalist at the 2019 Ambar Awards organized by ASOCODIS with a  project for XM Market Operator developed by the GIMEL Group.  Distingished in the 2014, 2015 Ambar Awards. Expert in ​​electrical systems planning, uncertainty management and optimization models.

Camilo Tabares

Camilo Tabares

Data Scientist

Economist from Universidad de Antioquia. Two years of experience in designing, developing and implementating electric load forecasting models for the independent system operator in Colombia. Two years of experience in developing econometric and artificial inteligence algorithms for the financial sector.

Juan E. Moreno

Juan E. Moreno

Data Scientist

Electrical Engineer from Universidad de Antioquia. Experience working on topics related to decomposition of stochastic algorithms to confront problems where uncertainty is present. One year of experience working on energy demand forecasting projects implementing statistical models for the independent system operator in Colombia.

Camilo Gómez

Camilo Gómez

Data Scientist

Physicist from Universidad de Antioquia. Bronce medal in Iberoamerican Physics Olympiads. Has experience in developing  artificial intelligence for videogames and mathematical modelling of real world systems. Has also developed web applications and has a good understanding of different deep learning models.

Juan F. Hernández

Juan F. Hernández

Data Engineer

Bioengineer from Universidad de Antioquia. 13 years of programming experience and 4 years developing Data Science pipelines and models in big companies at Retail, Health, Logistics, Banking, and Research. Experienced at Big Data and Deep Learning technologies with deep knowledge at biomedical signal analysis, NLP and embedded systems.
Heisman Arcila

Heisman Arcila

Data Scientist

MSc. in Physics from the University of Antioquia, trained in problem solving using both programming and mathematical and statistical modelling. He worked on the generation and exploration of high energy physics models for the detection of dark matter in the near future and in his master’s degree. He has worked on techniques for the prediction of socio-economic variables using natural language processing in networked news.
Joseph F. Vergel

Joseph F. Vergel

DS Lead and ML Engineer

M.Sc. in Physics from UdeA with major in computational physics. Experience in applied optics, 3D-reconstruction and computational post-procesing for biomechanical implants. Analyst of well log data and seismic data in hydrocarbon sector for alliance UIS-ICP. Senior machine learning engineer for the electrical forecasting cloud platform of InterGrupo-XM Subsidiary of ISA. Currently, data science lead and senior machine learning engineer in charliebot.ai

No Project Too Big Or Too Small

As a Human Centered Artificial-Intelligence aimed organization, we do not measure energy projects in terms of KWh, but in terms of their impact in local communities and industry. Therefore, no matter the size, we utilize state of the art algorithms to provide accurate, realiable and robust energy forecasts so that you can focus on making the right decissions for your operation.

We design our solutions based on insight from industry leaders, forecasting professionals and worldwide scientific experts.

We also automate the entire forecasting process, from data intake and pre-processing, model training and forecasting to visualiation and notifications.

Years of Top Scientific Research

Completed Projects

Let’s Forecast Together

We have experience in developing customized forecasting models for comercial, residential, industry and wholesale sectors.

+57 4 5167770 Ext. 1137

Cl. 67 # 52-20, Ruta N Complex, Landing 4024

info@guane.com.co