The Main Topics 

Moving towards an effective and data-driven approach for predicting outages

• Applying data analytics methods to deliver smart and effective power outage communications with customers

• Can using Big Data be an effective tool for outage management in distribution systems?

• A successful prediction of the number of vegetation-related outages and help to detect vulnerable zones in outages

• Following a data-driven path to improve reliability and availability

• How to use predictive analytics to monitor sensor health and improve data quality

• Using auto-generated reports and analytics to spot and patch outage problems

• Combining environmental operational data to detect potential impact to the grid and environment in severe weather conditions

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How to reinvent and improve the customer experience during outages

• Managing post-event impacts from a long-term power outage

• Using the digital twin for the quickest power restoration

• How to react to faults quicker and more proactively during outages.

• Implementing best digital practices and detailed recovery procedures in the event of an outage

• What are the advantages and disadvantages of using social media during one of the worst storms?

• Can social media bring timely communications to the customers during severe weather events?

• Leveraging customer panels to drive customer satisfaction and experience

• Communication during a COVID-19 Pandemic

How to use analytics to improve reliability and safety of network operations

• Using predictive analytics to forecast potential and unplanned outages

• Implementing a machine learning-based prediction method to determine the potential outage of power grid components

• How to build resilience in production AI/ML during outlier events & extreme environments

• How to improve environmental safety with respect to outage conditions?

• Establishing strong safety strategy and management for blackouts and brownouts

• Improving safety processes of employees after and during power outages

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Enhancing weather-related power outage prediction by event severity classification

• How to identify the main causes of outages via data analytics, occurrence, and timeliness of outages before they happen

• Predicting the impacts of the major disturbances for a better resource 

• Battling a greater electricity demand for heating which has been fueled by low temperatures

• Making steps toward long-term power outage preparedness

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Is there a future for self-healing solutions?

• Discovering the potential of digital climate adaption solutions and strategies

• How to effectively use rolling blackouts to ease the burden on power grids straining to meet extreme demand for heat

• Predicting and minimizing the impacts of the major disturbances

• Discovering opportunities and challenges of digital era

• Improving outage recovery and more through voice enabled devices

Bronze Sponsor 

Bronze Sponsor 

Bronze Sponsor 

MIKA LOUKKALAHTI
Leading Expert, Asset Management

Helen Electricity Network | Finland

JOSEP M. GUERRERO
Professor, Villum Investigator Center for Research on Microgrids (CROM)

Department of Energy Technology 
Aalborg University | Denmark

PETR LANG
Head of Strategic, Asset Management

EG. D | Czechia

HARISH RAGHNANDAN
Network Operations, Support Manager

Eskom | South Africa

Bronze Sponsor 

GORDON FAIRLEY
Business Development Director

depsys SA | Switzerland