Real-time information to help manage emergency operations and decision-making, for companies in the electricity sector, using computational intelligence.
Difficulty to access real time data and information from different sources impacts the management of emergency operations, causing decision-making in companies in the electricity sector to be based on insufficient and often outdated data, without prior analysis of the impact of actions and on post indicators.
Insufficient quality indicators, financial compensations for energy faults, high operating costs and low quality of customer service.
IS THIS A PROBLEM FOR YOUR COMPANY?
Intellergy combines big data analysis with computational intelligence to help Utilities:
Big Data Analytics
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Receive and collect data from multiple sources in real time.
Build, implement and support operations rules.
Trigger real-time alerts by crossing data and applying intelligent algorithms.
View data through grids, maps and dashboards with the main managerial and operational indicators, in real time and in a historical view.
Provide relevant information to support and guide operational teams in the field, through mobile applications.
Intellergy provides managers and operators of System and Distribution Operation Centers, and those responsible for post-operation with real-time information and historical views related to emergency operations, from the integration of data collected from different sources and the application of computational intelligence, allowing:
Leverage emergency (and other) services to optimize customer service, establishing more efficient services and operations.
Access and visualize, in real time, all data and insights relevant to the coordination of actions, decision-making and operational control.
View and control procedures, indicators, and standards relating to the quality of services provided by the electricity distributor.
Concatenate multiple business processes fragmented into different processes and systems, in an integrated and scalable platform.
Visualize and analyze data from an occurrence, providing better and broader situational understanding.
Support the company during the crisis in the analysis and decision-making based on computational intelligence, in the coordination and optimized mobilization of teams and structures for more effective problem solving and in the identification of vital customers and imminent risks.
Based on DDMX's Intellergy platform, ENEL set up an operational intelligence cell to coordinate, monitor, and control the performance of the emergency response operation. It is focused on three pillars: Integration, Customization, and Modularization, which is allowing optimizing the operation in real-time and analysis of thousands of calls per month, improving service times and quality indicators, and reducing unproductive services, operating costs, and financial compensation. Recently, due to the success of the project, ENEL implemented the system in other distributors of the group began, and currently, it is operational at ENEL DisCos in Brazil (Rio de Janeiro, Ceará, and Goiás), and in Chile.
Rafael de BonisOperations Center Manager - ENEL RJ
Main indicators in real time
Prioritization of locations, resources, and occurrences by time, affectation, urgency
Real-time analysis of quality indicators and high voltage measurements