PowerSchedO for Data Collection

Data analysis is one of the fundamental tools used by people working on energy trading, whether they act on retail or wholesale markets

Portfolio management

forecast | renewable productions | hedging price volatility | risk management for imbalance

Generation portfolio

Power generation portfolio can be effectively handled using:
  • algorithms to forecast renewable productions
  • hedging techniques to handle price volatility of conventional power plants
  • risk management techniques to minimize the imbalance costs

Intraborder power exchanges and net positions

The CWE energy markets are linked with a transmission network modelled with a PTDF matrix.  Data analysis is widely used to monitor and forecast the capacity of the high-voltage interconnection and the net position of each country.

Analyse and forecast the power market dynamics

All these to say that data analysis is one of the main tools that support business growth in term of traded volume and hubs served.

Data Collection

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CWE

CWE is made of 5 different countries – Austria, Belgium, France, Germany and the Netherlands – and counts up to 9 different TSO.

elia, rte, tiwag, verbund, vkw, enbw, amprion, 50 hertz, tennet

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Transparency report

Almost all the public data published by the TSOs are organized into the ENTSO-E platform called “Transparency report”, whilst other specific open data are available onto the TSOs website. Collecting all these data, cleaning and normalization, storing into a database: this is a three-step process enabling any data science analysis.

Power BI, qlik view, sas, sap, oracle, tableu

 

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Advanced analytics

Advanced analytics can be performed using many programming languages, providing actionable insights using artificial intelligence and optimization

python, r, matlab, julia

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Business-intelligence

Performing business-intelligence is probably the most used tool to analyse market data: reports, on-line charts, sharing the power markets fundamentals across the company’s departments.

Power BI, qlik view, sas, sap, oracle, tableu

 

PowerSchedO for data collection is the specific solution designed and developed to help any market analyst to build a bullet-proof database of power markets data. At today, the data sources properly handled are: entso-e, elia, jao, terna, epex-spot, omie, gme.

PowerSchedO for Data Collection is the specific solution designed and developed to help any market analyst to build a bullet-proof database of power markets data

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PowerSchedO
for Data Collection

Find out more in detail how PowerSchedO can support your scenario planning activities and give new impetus to the results of your business.

PowerSchedO for Data Collection is kept always updated in order to follow any market evolution or any changes in data format. Further, other data sources can be added following our customers’ requests.

Powerschedo for Data Collection ultima modifica: 2019-10-02T16:20:02+01:00 da esalsi@mbigroup.it