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May , 2012
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Optimizing assets across the portfolio to increase profits and cut costs is a critical topic in trading, risk management, and logistics departments across energy companies. This white paper takes a closer look at challenges facing energy commodities today and provides essential guidance to take hedging and risk management to the next level.
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London Conference 29th & 30th May - The CTRM Technical Conference Series is at the Cumberland hotel, London for a two day conference based around important technical issues in the commodity trading and risk management business function including; CTRM Software, Risk Management Software, Data Management and more. The conference is taking place ...
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Paragon Consulting Corporation is a leading provider of Credit Risk Management Software to participants in the competitive energy markets throughout North America. Its flagship product Vanguard allows credit risk professionals to employ up to the minute decision making while utilizing integral counterparty, agreement, exposure, collateral, and advanced credit analytics.
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Morningstar provides superior quality market data and analytical products for energy data management systems, financial and agricultural data management, historical analysis, trading, risk management and forecasting. Founded in 1988, and now a subsidiary of the investment research powerhouse, Morningstar is the global leader in providing software to perform sophisticated historical equity, ...
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CommodityPoint was created to help to bring focus and clarity to the broad array of issues surrounding the wholesale trading of commodities. Our team provides expert analysis of market trends and, in particular, the technologies and applications supporting those that participate in regional or global commodity markets. CommodityPoint is the foremost analyst firm ...
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News – WISKI in Serbia

Posted by Gary M. Vasey On December - 5 - 2011

WISKI in Serbia

KISTERS AG was contracted by the Norwegian Water Resources and Energy Directorate(NVE) to build and establish a new hydrological information system at the Hydrology Department of the Hydrometeorological Service of Serbia (RHMSS) based on KISTERS Time Series Management (KiTSM).

The new solution was purchased for integrated meteorological and hydrological data management including imports and exports, data processing and validation, statistical evaluation as duration curves, frequency analyses, long term values, presentation and reporting. The core KiTSM runs on a Linux operating system, the WISKI database is based on Oracle. Task automation is executed by a separate module – WISKI Service Provider (WSP).

All relevant hydrological historical data (water level, discharge, sediment transport, ice phenomenon, etc.) have been migrated into the new database. For the import of real-time meteorological data needed for running the hydrological forecasting system at the RHMSS specific importers were built. As part of the implementation, several WISKI training courses for hydrological experts at the RHMSS were carried out.

An important part of the project was the integration of the HBV model and WISKI. The HBV is a rainfall-runoff type model developed at the Swedish Meteorological and at the Hydrological Institute, which includes conceptual numerical descriptions of hydrological processes at the catchment scale and which is widely used in the world. In cooperation with the Division for Hydrological Forecasting at the RHMSS and the Norwegian Water Resources & Energy Directorate (NVE), KISTERS AG has implemented a first phase of a WISKI-HBV model integration. WISKI provides real-time hydrological and meteorological data such as water level, air temperature, precipitation, and snow depth as well as weather forecast data for meteorological and river basin representative stations. Using automated services and batch routines the WISKI system sends HBV input data to the model. Finally, WISKI grabs the HBV output results data, such as evaporation, inflow and outflow, soil moisture, snowmelt, etc. and imports them all back into the database. All WISKI system services are automated in order to keep a predefined time schedule for running the HBV model and for receiving the model results right on time.

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