PreFlexMS project deliverables
The page lists 8 deliverables related to the research project "PreFlexMS".
List of Deliverables
| title and desprition | type | last update |
|---|---|---|
Deterministic and probabilistic weather forecasting in PreFlexMSDescribe set-up and model characteristics of both deterministic and probabilistic weather forecasting at AEMET. Programme: H2020-EU.3.3.2.4.;H2020-EU.3.3.2.2.;H2020-EU.3.3.2.1. - Topic(s): LCE-03-2014 |
Documents, reports | 2019-09-09 |
Report on formal modelThe report describes formal knowledge representation of the performance model. It provides its capabilities and expressive power. It includes parametrization and further extension guidelines. Programme: H2020-EU.3.3.2.4.;H2020-EU.3.3.2.2.;H2020-EU.3.3.2.1. - Topic(s): LCE-03-2014 |
Documents, reports | 2019-09-09 |
Communication tools (project identity set, poster, first release of the regularly updated website)The aim of this deliverable is provide all those tools that the project needs to achieve fluid communication, both among PreFlexMS partners and to potential stakeholders, and as well as a high impact of its results. So, it includes the design of the project image aspects, like logos, templates, posters or videos and the project web site. This web site will serve to vertebrate the communication and dissemination flow, to share internal information and to link the project with partners and external interests. Programme: H2020-EU.3.3.2.4.;H2020-EU.3.3.2.2.;H2020-EU.3.3.2.1. - Topic(s): LCE-03-2014 |
Documents, reports | 2019-09-09 |
Electricity Pricing Scenarios for predictable and flexible CSPProjections in market pricing scenarios likely to occur in the most important markets where large scale CSP would be deployed taking into account incentives or demands by local grid operators. These are displayed as electricity prices vs time of day for a variety of markets. Programme: H2020-EU.3.3.2.4.;H2020-EU.3.3.2.2.;H2020-EU.3.3.2.1. - Topic(s): LCE-03-2014 |
Documents, reports | 2019-09-09 |
Validation sitesThree typical locations for CSP power plants, but different with respect to their weather characteristics are chosen – the report provides the site assessment results and methodology. Programme: H2020-EU.3.3.2.4.;H2020-EU.3.3.2.2.;H2020-EU.3.3.2.1. - Topic(s): LCE-03-2014 |
Documents, reports | 2019-09-09 |
Report on machine learning algorithmsThe report describes machine learning algorithms: to obtain appropriate parameters for the model (task 3.3.2), to formulate a new model (task 3.3.5). A methodology regarding the choice of the proper machine learning algorithm is also given. Programme: H2020-EU.3.3.2.4.;H2020-EU.3.3.2.2.;H2020-EU.3.3.2.1. - Topic(s): LCE-03-2014 |
Documents, reports | 2019-09-09 |
Post-processing for deterministic and probabilistic weather forecasting in PreFlexMSDescribe set-up and characteristics of the post-processing for both deterministic and probabilistic weather forecasting at CENER. Programme: H2020-EU.3.3.2.4.;H2020-EU.3.3.2.2.;H2020-EU.3.3.2.1. - Topic(s): LCE-03-2014 |
Documents, reports | 2019-09-09 |
Integration of aerosol forecastsDescribe method and results on the inclusion of aerosol forecasts. Programme: H2020-EU.3.3.2.4.;H2020-EU.3.3.2.2.;H2020-EU.3.3.2.1. - Topic(s): LCE-03-2014 |
Documents, reports | 2019-09-09 |