Author
Listed:
- Markus Hartwig
(Hitachi Europe GmbH)
- Olaf Heil
(Hitachi Europe GmbH)
Abstract
The increase of renewable energy and decentralized power production introduced new flexibility of energy supply while generating a significant increase in power price volatility in the market place. The product “Hitachi Energy Trading Optimizer (HETO)” as a Cloud based IT solution using artificial intelligence and machine learning algorithms, permits utilities and large industrial clients to optimize their profit & loss (P&L) through an optimization of their respective sourcing and marketing strategies with regard to electricity and its related commodities on today’s commodity markets. At the core of the solution is an IoT Platform that uses machine learning concepts to continuously enhance the marketing—and sourcing activities with respect to the different commodity markets. The first version of “HETO 1.0” optimizes a short term portfolio comprising both the supply and the demand side. Up till now the tradable markets include calendar day trading and any other product that has a shorter delivery horizon i.e. auctions and continuous trading. In addition, most of the different reserve power markets are being considered. By steering the assets according to market conditions, cost reduction, profit increase and stabilization of power grids can be achieved. The product targets in particular the 860 local and regional utilities (Stadtwerke) and about 180 large industrial clients together with other IPP (Independent Power Producers) and IPM (Independent Power marketers) that have a significant need for energy or have own power generation capacity themselves. These customer segments represent generation capacities of 32,800 MW conventional and 85,000 MW renewable power. The product is designed in such a way that it can be used in all liberalized energy markets, as it can be tailored to the respective market design paramount in any particular country. This platform also serves as a nucleus to offer other products and services in the environment of smart cities/smart infrastructure.
Suggested Citation
Markus Hartwig & Olaf Heil, 2017.
"Hitachi Energy Trading Optimizer,"
CSR, Sustainability, Ethics & Governance, in: Thomas Osburg & Christiane Lohrmann (ed.), Sustainability in a Digital World, pages 173-179,
Springer.
Handle:
RePEc:spr:csrchp:978-3-319-54603-2_14
DOI: 10.1007/978-3-319-54603-2_14
Download full text from publisher
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below whether another version of this item is available online.
2. Check on the provider's
web page
whether it is in fact available.
3. Perform a
search for a similarly titled item that would be
available.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:csrchp:978-3-319-54603-2_14. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.