meteo*swift
Your browser is obsolete. Please download a newer version.

    To contact us, please fill out the form below

    Attachment (pdf, ppt, max 5 Mo)
    * mandatory By using the contact form, I accept the privacy policy of the site meteo*swift pays the utmost attention to your personal data and undertakes to protect them, so that their collection and processing, carried out from this site, are in accordance with the law n°78-17 of January 6, 1978 amended relating to data processing, files and freedoms and with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 applicable on May 25, 2018. These data are not transmitted to third parties and their retention period is limited to 13 months from the date of collection.

    Your message is sent

    Thank you for your message, we will do our best to respond as soon as possible.

    Close

    Use cases

    Power producers and asset managers

    Maximize wind and solar assets' profitability

     

    Challenge

    Maximize wind and solar assets’ profitability

    The objective of a power producer is to maximize its return on investment. This requires a daily monitoring of asset’s performance and involves optimizing all operations. Scheduling maintenance during low production periods, or turning off power plants in case of negative prices can make a difference. Anticipating on solar and wind power production is also key to better manage projects’ cash flows and treasury. Finally, as regulation pushes for wind ans solar energy integration in power markets, forecasting difficulty increasingly impacts assets profitability and needs to be considered in portfolio development strategies.

    Our forecasts help producers to:

    1.

    Optimize maintenance

    Schedule maintenance operations when production is low

    2.

    Better manage financial risk

    Anticipate weekly and monthly turnover to better manage treasury

    3.

    Comply with legal / contractual obligations

    Cooperate with the grid operators / industrial customers by sharing production forecasts

    Example: forecasting to optimize maintenance scheduling

    The operator receives an estimation of the expected behaviour of his asset for the next 8 days. He can thus select the less productive day to perform the maintenance: October the 18th

    • Forecast: Wind power (kW)
    • Horizon: D+8
    • Time step: 1h
    • Sending frequency: Once a day at 9h30 am
    Example: power forecast to optimize maintenance scheduling

    Interested in our forecasting services?

    Meet our experts and test our solution.
    Contact us

    For a better experience, please rotate your screen.