Abstract This paper presents the Forecast-as-a-Service (FaaS) framework, a cloud-based framework that provides on-demand customer-defined forecasting services. Based on the principles of service-oriented architecture (SOA), the FaaS enables the use of different types of data from different sources to generate different kinds of forecasts at different levels of detail for different prices. The FaaS framework has been developed to provide on-demand forecasts of solar or wind power. Forecasts can be long-term forecasts useful for prospecting or planning by potential investors, or short-term forecasts suitable for operational decision making by operators of existing facilities. FaaS provides a more flexible and affordable alternative to the subscription model provided by current forecast service vendors. By improving the flexibility and economics of renewable energy forecasting services with SOA and cloud computing, FaaS achieves the goal of Services Computing.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    A Cloud Computing Framework for On-Demand Forecasting Services

    Tam, K.-S. / Sehgal, R. | British Library Conference Proceedings | 2014


    Traffic Demand Forecasting for Port Services

    Alen Jugović / Svjetlana Hess / Tanja Poletan Jugović | DOAJ | 2011

    Freier Zugriff

    Airport rail services: forecasting hourly demand

    Kenny, K. | British Library Conference Proceedings | 2007



    Methodological Framework for Air-Travel Demand Forecasting

    Karlaftis, M. G. / Zografos, K. G. / Papastavrou, J. D. et al. | British Library Online Contents | 1996