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Forecasting and Risk Management Techniques for Electricity Markets
| Forecasting and Risk Management Techniques for Electricity Markets |
| Autore | Yamada Yuji |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (212 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
artificial market simulation
balancing power market bidding agent bidding strategy blockchain cashflow management of electricity businesses cooperative mechanism cyclic cubic spline day-ahead market demonstration experiment digital grid distributed energy resources distributed energy resources (DER) electric vehicle electric vehicles electricity derivatives and forwards electricity load electricity markets electricity price electricity price forecasting empirical simulations functional autoregressive model functional final prediction error (FFPE) functional principle component analysis hardware control home energy management systems intra-day market liquidity market maker microgrid minimum variance hedge multi agent system n/a naive method non-parametric regression optimal hedging using nonparametric techniques P2P electricity market P2P energy trading peer to peer energy market peer-to-peer energy trading price fluctuation renewable energy retailers and power producers solar power and thermal energy spline basis functions vector autoregressive model weather derivatives wind energy |
| ISBN | 3-0365-5184-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619464203321 |
Yamada Yuji
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Knowledge and Systems Sciences : 19th International Symposium, KSS 2018, Tokyo, Japan, November 25-27, 2018, Proceedings / / edited by Jian Chen, Yuji Yamada, Mina Ryoke, Xijin Tang
| Knowledge and Systems Sciences : 19th International Symposium, KSS 2018, Tokyo, Japan, November 25-27, 2018, Proceedings / / edited by Jian Chen, Yuji Yamada, Mina Ryoke, Xijin Tang |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVI, 275 p. 126 illus., 62 illus. in color.) |
| Disciplina | 006.33 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Data mining
Artificial intelligence Application software Data Mining and Knowledge Discovery Artificial Intelligence Information Systems Applications (incl. Internet) Computer Appl. in Social and Behavioral Sciences |
| ISBN | 981-13-3149-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Modeling the heterogeneous mental accounting impacts of inter-shopping duration -- The characteristics of service efficiency and patient flow in heavy load outpatient service system -- How do you reduce waiting time ? - When we talk about medical service, what do we concern? A text analysis of weibo data -- Modeling wicked problems in healthcare using interactive qualitative analysis: the case of patients’ internet usage -- Mining typical drug use patterns based on patient similarity from electronic medical records -- Aiding first incident responders using a decision support system based on live drone feeds -- The use of event-based modeling and system-dynamics modeling in accident and disaster investigation -- Generating risk maps for evolution analysis of societal risk events -- Research on forest fire processing scheme generation method based on belief rule-base -- Kansei knowledge extraction as measure of structural heterogeneity -- The impact of online reviews on product sales: what’s role of supplemental reviews -- Social media and the diffusion of an information technology product -- The effect of cognitive trust on team performance: a deep computational experiment -- Dynamics of deffuant model in activity-driven online social network -- Identifying factors that impact on the learning process of sewing workers on an assembly line -- A study on constructing KM system for laboratories based on the three-stage EDIS spiral -- Some q-rung orthopair fuzzy dual maclaurin symmetric mean operators with their application to multiple criteria decision making -- An improved short pause based voice activity detection using long short-term memory recurrent neural network. |
| Record Nr. | UNINA-9910299308103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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