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https://www.oati.com/solutions/energy-trading-risk/analytics-generation-load-optimization
By considering transactions and assets both inside and outside of ISOs, OATI webAnalytical allows users to define customized constraints and extend predefined models, optimizing each portfolio individually. This solution is designed to be flexible, enabling users to easily adjust strategies as business needs and opportunities change.
https://blog.riverlogic.com/what-is-a-decision-support-system-why-do-i-need-one
Oct 21, 2015 · First things first: what is a decision support system (also referred to as a DSS)? In short, it's a computer solution using decision logic and statistical data to help managers and operation planners overcome strategic deficiencies to implement streamlined, efficient solutions.DSS systems can be entirely optimized via computer, entirely human-powered or a hybrid of both.
https://pdfs.semanticscholar.org/10f3/4407d0f7766cfb887334de4ce105d5aa8aae.pdf
Reinforcement Learning for Trading Systems and Portfolios John Moody and Matthew Saffell* Oregon Graduate Institute, CSE Dept. P.O. Box 91000, Portland, OR 97291-1000 {moody, saffell}@cse.ogi.edu Abstract We propose to train trading systems by optimizing fi-nancial objective functions via reinforcement learning.
https://blog.riverlogic.com/five-decision-support-system-examples
Oct 18, 2019 · Decision support system examples include manual systems, hybrid systems, all types of analytics as well as sophisticated decision support software. A factor that distinguishes newer computer-based systems from early decision support systems is their ability to analyze extremely large data sets, providing data-driven recommendations that take the guesswork out of decision-making.
https://www.fisglobal.com/solutions/institutional-and-wholesale/-/media/fisglobal/files/brochure/aligne-for-traders-and-marketers.pdf
Aligne for Traders and Marketers 6 Aligne business intelligence and decision support Real-time proactive monitoring and control of energy trading activities Aligne business intelligence (BI) and decision support helps energy trading organizations to more effectively manage risk, optimize decisions and increase revenues. Aligne’s
https://link.springer.com/article/10.1007/s11750-016-0429-9
Jul 18, 2016 · Energy systems optimization under uncertainty is increasing in its importance due to on-going global de-regulation of the energy sector and the setting of environmental and efficiency targets which generate new multi-agent risks requiring a model-based stakeholders dialogue and new systemic regulations. This paper develops an integrated framework for decision support systems (DSS) for the ...Cited by: 1
https://library.e.abb.com/public/52ff32a2de8a4fcc970f8197bfa2b5e8/Portfolio%20Optimization%20brochure_9AKK106930A8224-US-web.pdf
Decision support for physical trading Reduced costs, improved profitability and the ... ABB Ability Portfolio Optimization 4 ENERGY PORTFOLIO MANAGEMENT ABB BILITY PORTFOLIO OPTIMIZATION Fuel management and pipeline modeling Reducing fuel costs and risk through enhanced ... Data management system.
https://new.abb.com/enterprise-software/energy-portfolio-management/commercial-energy-operations/portfolio-optimization
Portfolio Optimization improves a portfolio’s operation by modeling detailed unit operating constraints and market conditions to provide a generation schedule for energy and ancillary services, fuel nominations, support the evaluation and pricing of potential short-term transactions, and facilitate the analysis and simulation of deterministic scenarios.
http://power.quantrisk.com/
Trading Generation Optimization. Increase generation profit by 20% via real-time optimization of trading, generation & ISO bidding. Lower energy cost by 20% via real-time optimization of power procurement portfolio trading and dispatch. No need to be a fortune 500 utility to afford this. Cost-effective solutions for single asset to large entities.
https://link.springer.com/content/pdf/10.1007%2Fs11750-016-0429-9.pdf
A strategic decision support system framework... 251 Fig. 1 Decision support system (DSS) framework diagram provide endogenous feedback to the DSS structure through stopping time moments and moving time horizons (see Sect. 2). Regarding DSSs, this term is usually defined as “an information system that supports decision making” with more or ...Cited by: 1
http://www.lacimagroup.com/SiteFiles/lacimagroupcomau/2013_EUCI_Risk_Analytics.pdf
ENERGY RISK ANALYTICS & PORTFOLIO OPTIMIZATION: A DEEPER ExAMINATION OF BEST PRACTICES AND ADvANCED METhODOLOGIES November 4-5, 2013 Royal Sonesta Hotel Houston, TX COuRSe euCI is authorized by IACeT to offer 1.4 Ceus for the course. euCI is authorized by CPe to offer 16.5 credits for the course.
https://library.e.abb.com/public/a5cdc818b41643c0a3ef2d793e587636/Portfolio%20Optimization%20brochure_9AKK106930A8224-A4-web.pdf
Decision support for physical trading Reduced costs, improved profitability and the ... ENERGY PORTFOLIO MGEMNT ABB ABILITY PORTFOLIO OPTIMIZATION 5 ... Portfolio Optimization is built upon our latest technology platform, e7, which has been completely refreshed to address the changing needs of the modern customer. It utilises a common interface ...
http://isiarticles.com/bundles/Article/pre/pdf/23679.pdf
of energy allocation between spot markets and bilateral contracts is formulated as a general portfolio optimization problem with a risk-free asset and n risky assets. Historical data of the PJM electricity market are used to demonstrate the approach.
https://www.sciencedirect.com/science/article/pii/S0957417408001097
In this study, an interactive decision support system (UREM-IDSS) has been developed based on an inexact optimization model (UREM, University of Regina Energy Model) to aid decision makers in planning energy management systems.
https://en.wikipedia.org/wiki/Multiple-criteria_decision_analysis
Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine). Conflicting criteria are typical in evaluating options: cost or price is usually one of the main criteria, and ...
http://recipp.ipp.pt/bitstream/10400.22/1340/7/ART_FilipeAzevedo_2007_GECAD.pdf
A Decision-Support System Based on Particle Swarm Optimization for Multiperiod Hedging in Electricity Markets Filipe Azevedo, Zita A. Vale and P. B. de Moura Oliveira Abstract tions This paper proposes a particle swarm optimization (PSO) approach to support electricity producers for multiperiod optimal contract allocation.
https://www.uniper.energy/enerlytics/clusters/asset-market-optimization
It provides in-depth optimization analysis so you can better understand your trading position in the energy market. With a 360-degree view of your portfolio, you can reduce risk exposure, optimize asset management strategies, maximize plant investment, and extract the maximum value from your energy portfolio across multiple markets.
https://www.ctrmcenter.com/blog/energy-trading/the-coming-transformation-of-asset-optimization/
Oct 29, 2019 · This means connectivity and control to ensure real-time information and operation. This includes control of all dispatchable energy assets (storage, demand and generation) and access to all revenue opportunities in real-time, 24 by 7. Once this is achieved, added value can be obtained through optimization, decision support and even AI.
https://www.sciencedirect.com/science/article/pii/S0140988317300865
Portfolio optimization of renewable energy assets: Hydro, wind, and photovoltaic energy in the regulated market in Brazil ... ways of trading, and contracting, exposing market agents to greater risks, both physical and financial, ... it is important to know how to manage the physical and financial risks from the electric system operation.
https://core.ac.uk/download/pdf/33971612.pdf
Model, Robust Solutions, and a Decision Support System for Energy-efficient Buildings EmilioL.Cano([email protected])* 1 Introduction 1.1 Motivation Energy systems optimization is increasing its importance due to deregulations in energy markets and the setting of targets such as the European Union (EU) 20-20-20. In turn,
https://www.energy.gov/sites/prod/files/2016/03/f30/2016.02.23%20-%20Linkov%20and%20Bates%20webinar%20to%20MCDA%20to%20PandRA%20CoP.pdf
Feb 23, 2016 · Multi-Criteria Decisional Analysis: Methodology & Case Studies. Igor Linkov & Matthew Bates. ... decision modeling, portfolio optimization, life cycle assessment, and software development. ... Project Portfolio Assessments Decision Support Resource Allocation
http://egon.cheme.cmu.edu/ewo/docs/Sabic_Tong_Zhang_EWO_2016_Fall.pdf
A decision support system for chemical R&D analytics and portfolio optimization Nikolaos Ploskas, Tong Zhang, Nick Sahinidis Carnegie Mellon University …
https://www.managementstudyguide.com/building-model-driven-decision-support-system.htm
Model-driven decision support system uses one from among or a combination of analytical, statistical, financial or stimulation models, to aid in decision making. This article focuses on the situations where a model-driven DSS can be used.
https://www.powercosts.com/solutions/optimization-analytics/
Optimization & Analytics. Competitive power generation companies must constantly evaluate their decisions based on market conditions. PCI GenTrader ® is the acknowledged industry leading solution for generation portfolio optimization. Incorporating numerous breakthroughs in optimization and simulation technology, GenTrader ® offers multiple modeling capabilities that provide near real-time ...
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