Optimistic inflow forecast bias distorts dispatch, raises costs and reliability risks, and reduces contracting in Brazil's hydrothermal power system.
, author Haugstad, A
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Simulated annealing with seasonal sliced Wasserstein distance selects climate year subsets that are 2.5-3.5 times more representative than ENTSO-E practice and achieve 4-5 times effective sample size.
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How optimistic inflow forecasts distort dispatch, prices, and contracts in hydro-dominated power systems: evidence from Brazil
Optimistic inflow forecast bias distorts dispatch, raises costs and reliability risks, and reduces contracting in Brazil's hydrothermal power system.
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Bridging the climate to energy data gap: simulated annealing for representative climate year selection
Simulated annealing with seasonal sliced Wasserstein distance selects climate year subsets that are 2.5-3.5 times more representative than ENTSO-E practice and achieve 4-5 times effective sample size.