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ENERGYTECH

Smart energy: AI automation and optimization

¿WHO

We are an AI solutions house that supports the global energy transition by designing and building software and optimization solutions for the energy value chain: generation, transmission, distribution and marketing.

We digitally transform and automate corporate processes by implementing 4.0 technological tools through secure, robust and scalable cloud software platforms.

Customer

Allies

Recognitions

-Top4 of best inventor companies ANDI 2024.

-ANDI 2023 Business Creation Award.

-Most innovative startup in the country, according to the ANDI Business Innovation Ranking 2022 and 2023.

-Only Colombian startup and one of the 100 most promising startups in energy technology worldwide in Set Award 2023.

-TOP 100 Global 2023 and 2024 Start Up Energy Transition of the German Energy Agency and the World Energy Council. Only Colombian company in the ranking.

-2023 TOP 1 in EnerrgyTechs, TOP 3 Open Innovation.

-2022 TOP 1 Artificial Intelligence, TOP 2 Open Innovation. According to the Ranking of Open Innovation Colombia and Connect Bogota 2023.

-First place in Innovation Platform (System), National Phase - CIER 2024.

-One of the 30 Business Promises in Forbes Colombia 2023.

-Winners of two open innovation calls of Grupo Energía Bogotá in 2022.

-The most innovative and sustainable solution according to the World Energy Council (WEC) and the Renewable Energy Association (SER) 2020.

-TOP 1 in Innomarathon SAP Colombia and TOP 3 in Latin America SAP 2019.

-Ally of the sustainable energy cluster and Startups 4.0 network for the energy transition.

WHAT ARE

WE FACING?

The electricity sector faces a number of challenges, such as the transition to renewable energy, the reduction of greenhouse gas emissions and security of supply. These challenges are framed within four processes:

DIGITALIZATION

With our solutions we have shown that through digitalization it is possible to achieve sustainable development for society.

According to the International Energy Agency (IEA), only the digitalization of the energy sector, with constant monitoring coupled with artificial intelligence, will allow “energy efficiency to be the engine to achieve a sustainable global energy system.”

THORI AI

Thori AI is a comprehensive energy asset management platform. Our suite includes optimization, prediction, energy efficiency models; as well as the latest technological components in order to accompany the energy transition through innovation and digitalization.

LEARN ABOUT OUR SERVICES

Energy and power demand forecasts

DHOG: Optimized Hydrothermal Dispatch

Energy and power generation forecasts

GEES: Energy efficiency and sustainable management

DAM: Intraday economic dispatch

Optimal management of PQRS

Optimization of brigades and prediction of incidents in the field

Development of custom software

ENERGY AND POWER DEMAND FORECASTS

Forecasting module baseline:

Automatic generation of forecasts.

Forecasts sent to the Colombian system operator automatically.

Weekly, daily and intraday forecast execution, as projected in CREG draft resolution 143 of 2021.

Scheduling the execution in the forecast horizon of your preference.

Interpolation module in the demand series that allows for an estimate of the forecast with a granularity of 15 minutes.

MAPE (Mean absolute percentage error) below 5%

Additional functionalities that make the module more robust and allow complete automation of the operation consist of:

Disaggregation of the forecast into bars.

Management of the demand equation.

Border parameterization.

Generation of key performance indicators (Key Performance Indicators KPIs).

SCADA systems

Processing and implementation of technologies

Imputation and filtering

Combination

What do you get?

ENERGY AND POWER GENERATION FORECASTS

By implementing the power generation forecasting service, power generation companies will be able to:

Improve generation planning and programming, effectively adapting to demand and market conditions.

Reduce costs associated with over or under-production of energy thanks to more accurate predictions.

Maximize and take advantage of renewable energy sources.

Comply with state regulation and sustainability objectives through more efficient and controlled energy generation.

Technical functionalities:

Scheduling the execution in the forecast horizon of your preference.

Forecasts sent to the Colombian system operator automatically.

MAPE (Mean absolute percentage error) below 20%

Interpolation module in the demand series that allows for an estimate of the forecast with a granularity of 15 minutes.

Weekly, daily and intraday forecast execution, as projected in CREG draft resolution 143 of 2021.

Automatic generation of forecasts.

Digitization processes

Small hydroelectric power station

Energy generator

Processing and implementation of technologies

Imputation and filtering of data

Data Cleaning

Combination of AI models

Climatic events

What do you get?

MAPE representation

Contract modification and management

Operation planning

Regulatory compliance

Reduce energy costs

Business model

Annual licensing

Custom software

Potential users

Power generators

Some functionalities:

Detailed modeling of hydraulic chains.

Automatic simulations of multiple scenarios.

DHOG Optimized hydrothermal dispatch

Obtain short, medium and long-term simulations on prices and behavior of the energy market in Colombia.

Variable duration of stages.

Simulation of the future energy market.

Flexible energy demand models.

With DHOG customers achieve:

Accurate information for decision making under uncertainty.

Adaptability to market changes.

Planning of energy production and marketing strategies.

Optimization in the use of water resources.

Statistical analysis of all simulation outputs.

Ability to adapt to different interest groups.

Simulation of future prices and long-term contracting strategies.

Optimal reservoir and maintenance policy.

Possibility of modeling different objective functions.

Preloaded and automated databases.

“The

DHOG is an advanced tool that prepares all agents in the sector for a robust energy transition.”

Oscar Carreño, RightSide CEO

Business model

Subscription

Potential users

Power Generators

Marketers

State entities

Investors and promoters of projects

Academy

DAM Economic dispatch

With the DAM you will be able to simulate detailed scenarios of the daily dispatch in Colombia.

Detailed model of the economic dispatch in Colombia with all the restrictions used by the market operator.

Automatic information uploads.

Intraday dispatch model.

Simulation of short-term prices.

Nodal pricing model.

Reservation co-optimization models.

By implementing the DAM you can:

Make generation offers strategically.

Anticipate major changes in settlement.

Simulate next day prices.

Cloud software that facilitates the loading and processing of information.

Business model

Subscription

Potential users

Power generators

Marketers

State entities

GEES Energy efficiency and sustainable management

Effective solution to control energy consumption and reduce CO2 emissions. With advanced technology, it offers detailed analysis and intelligent adjustments to improve the sustainability and energy efficiency of your company, contributing to a greener and more responsible future.

Essential functionalities

Audit of the state of electrical infrastructure and current operation.

Integration of AI-GEES continuous and thori measurement software.

Status and installation of meters and data collection.

Optimization of critical equipment and efficient operation analysis.

Measurement database integration and parameterization

Generation of monthly reports of results and evaluation of savings.

Benefits

Reduction of energy consumption

Optimization of operating costs

Sustainability and regulatory compliance

Analysis and strategic planning in energy management.

Manage and optimize the sale of surplus energy.

“(...) in Colombia, useful energy is only 31% of the final energy and inefficiency in consumption is around 67%, a situation that costs the country between 6,600 and 11,000 million USD annually.”

UPME

Business model

Subscription

Potential users

Unregulated clients

Production plants

Prosumers

Prediction of incidents in the field

With this software development, companies ensure service continuity and minimize response and incident resolution times.

The CREG establishes the use of the SAIDI indicator to evaluate the quality of electrical service. The SAIDI measures the average duration of electrical interruptions per user, being crucial to guarantee and improve service continuity. - Resolution 015 of 2018, Energy and Gas Regulation Commission (CREG) in Colombia.

Some implementation advantages:

Improvement in the quality and reliability of electrical service.

Maximization of operational efficiency and cost reduction.

Compliance with regulatory standards and avoidance of sanctions.

Significant reduction in response time to failures.

Brigade optimization

In parallel, understanding and predicting the probability of failure allows distributors to implement effective preventive maintenance strategies. Likewise, these estimates are key to reducing the risk of unforeseen interruptions, thus improving reliability and quality of service.

“Complying with the SAIDI standard is essential for distribution companies, avoiding possible sanctions and promoting service efficiency.”

How does your company benefit?

Minimizes service interruptions for consumers.

Potential users

Electrical energy distribution companies.

Public service companies with electrical distribution

Facilitates the sustainable and responsible management of energy infrastructure. Provides predictive analysis for preventive maintenance and resource optimization.

Increase customer satisfaction through faster response.

Digital Transformation in Electrical Network Management Asset and

Increases the effectiveness and efficiency in the processes of updating the elements of the electrical network with latest generation technologies.

Key Functionalities

Data extraction from field photographs of transformer plates.

Implementation and parameterization of agent-specific business rules for continuous improvement of the database.

Data extraction from laboratory test protocols for transformers in PDF, digital and/or scanned formats.

Extraction of information from the electrical network in plans with DWG (autocad), PDF and image format.

Conversion of units, dates and coordinates, as well as relationships between the different parts of the plan to improve efficiency and effectiveness in updating GIS databases.

This development is based on the use of different techniques and tools from data science, language analytics and computer vision. Through these, the workload of operators in an energy distribution company is reduced.

Increase in productivity and focus on innovation.

Improves the accuracy and accessibility of information.

Significant reduction of time and effort in update processes.

reducing operational burden and focusing human talent on higher-value tasks.

Optimal management of

PQRS

We integrate technologies from the fourth industrial revolution to identify, classify and resolve PQRS automatically.

Some functionalities:

Automatic identification and classification of PQRS.

Integration with preferred email systems.

Interpretation of content.

Visualization of KPIs and geolocation in real time.

Ability to redirect requests according to

What are the benefits of implementing this technology?

Improvement in customer satisfaction.

Detailed analysis and tracking of requests.

Reduction of time in PQRS processing.

Improvement in the efficiency of request management.

Potential users

Public service companies. Government entities.

Corporations with high volume of PQRS.

These are some developments and projects that we have identified in the energy sector that are susceptible to digitalization:

Construction of digital twins to simulate scenarios based

Identify energy efficiency improvements in the plant. Identification and characterization of faults Perform scheduled maintenance at strategic times.

Input price prediction and inventory optimization.

Enables informed decisions on procurement and materials

Document management of contracts and/or the purchasing department

Optimization of time in operational tasks

Reduction of manual errors, operational costs

Weather forecast that will give you a complete view of environmental conditions and their impact on power transmission.

Granting loans to unbanked clients

Monitoring and early detection of failures in transmission infrastructure, allowing you to take preventive measures and minimize interruptions in energy delivery.

Hypersegmentation of customers and consumption patterns to understand user behavior.

Offer of services with greater opportunities for the user.

Optimization of electrical loads in a company

Correction in the distribution of electrical load to avoid consumption peaks and reduce energy costs. Identify peak demand times

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