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can be corrected though flexible hydropower plants; however the power price is highly influenced by the fluctuations in … the reservoir level (Huisman et. al [2013]). In this paper, we question to what extent hydropower a stabilizing effect has … low and high hydro reservoir levels. Results indicate that under wind forecast error, the use of hydropower capacity in …
Persistent link: https://www.econbiz.de/10013040587
can be corrected though flexible hydropower plants; however the power price is highly influenced by the fluctuations in … the reservoir level (Huisman et. al [2013]). In this paper, we question to what extent hydropower a stabilizing effect has … low and high hydro reservoir levels. Results indicate that under wind forecast error, the use of hydropower capacity in …
Persistent link: https://www.econbiz.de/10013046901
and monopoly hydropower allocation solutions are presented. Market power utilization potential for hydropower is reduced … utilization exists. Compared to thermal power systems, wind value factors are high as efficiently allocated hydropower buffers … hydropower widens as wind market share increases …
Persistent link: https://www.econbiz.de/10012923463
The Province of Ontario has had a very aggressive program of introducing wind electricity generation technologies into its generation supply mix. This program, combined with the rigid baseload production by nuclear and hydro plants, has created a surplus baseload electricity supply for 20 years....
Persistent link: https://www.econbiz.de/10012793507
network and hydropower representation. Swissmod captures the features and restrictions of run-of-river, yearly storage and … interdependence of hydraulically coupled hydropower plants into account. In addition, the Swiss electricity network is represented …
Persistent link: https://www.econbiz.de/10010373316
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We analyse the drivers of European Power Exchange (EPEX) retail electricity prices between 2012 and early 2022 using machine learning. The agnostic random forest approach that we use is able to reduce in-sample root mean square errors (RMSEs) by around 50% when compared to a standard linear...
Persistent link: https://www.econbiz.de/10013262773