{"ok":true,"nota":{"id":"1236b7484702a4a0","slug":"un-modelo-de-computadora-muestra-que-combinar-nuclear-gas-y-baterias-p-1236b7","titulo":"Un modelo de computadora muestra que combinar nuclear, gas y baterías podría abaratar la energía en California","resumen":"Investigadores crearon un modelo que predice la demanda eléctrica y optimiza cómo despachar energía nuclear, gas y baterías en el sistema de California. El código y los datos están publicados para que otros los reproduzcan.","fuente":"zenodo","fuenteNombre":"Zenodo · Investigación abierta","color":"#1682d4","autor":"cagataykuban","url":"https://doi.org/10.5281/zenodo.21501015","imagen":"/hoy/portada/1236b7484702a4a0","tema":"tecnologia","subtemas":["energia nuclear","baterias","red electrica","energias renovables","modelado computacional"],"entidades":["California","CAISO","Cagatay Kuban","Applied Energy","ERCOT"],"formato":"dato","entretenimiento":false,"pubTs":"2026-10-25T18:25:54.000Z","indexTs":"2026-10-27T13:32:50.788Z","hash":"16b249926f3042ff2351bfc93ea15381860421609675976eeebc0e268b41453b","tsa":{"time":"2026-10-27T13:34:28.461Z","provider":"freetsa.org","sobre":"sello"},"stats":{"views":0,"likes":0,"clicks":0,"dwell":0},"tipo":"motor","registro":"hallazgo","porQueImporta":"Cuando el sol baja, la demanda de electricidad sube de golpe y las renovables pierden fuerza, un fenómeno llamado curva de pato. El trabajo sugiere cómo cubrir ese hueco con menos costo y más estabilidad, usando baterías para guardar energía del mediodía. Es un estudio de simulación aplicado a California y su validez para otros sistemas dependerá de sus propias condiciones.","quienFirma":"Cagatay Kuban (manuscrito enviado a Applied Energy, código publicado en Zenodo)","confianza":"preprint","consulta":{"pregunta":"¿Qué fuente de energía debería ir en primer lugar para cubrir los picos?"}},"sello":{"hash":"16b249926f3042ff2351bfc93ea15381860421609675976eeebc0e268b41453b","sello":"0635e33d8cee50a34ace381a8696178bdbff428a626ae23539cd6363a888e87a","beacon":{"drand":{"cadena":"8990e7a9aaed2ffed73dbd7092123d6f289930540d7651336225dc172e51b2ce","ronda":6589234,"aleatorio":"28c989e7a1aed4fc51c1fb98e56c6b9badfac1025d9413be7796e49627b5fcd8","tiempo":"2026-10-27T13:34:00.000Z"},"nist":{"cadena":2,"pulso":2001772,"salida":"0E703280D2ECB99CF237148891BE4B05125CA4A9FA93BA99C93DE108693398FC1C1436A917C2E942D3FD99D4FACCDDC40E70589522F4EEDE9B18514294B0BD55","tiempo":"2026-10-27T12:55:00.000Z"},"noAntes":"2026-10-27T13:34:00.000Z"},"verificacion":{"drand":true,"nist":true},"tsa":{"time":"2026-10-27T13:34:28.461Z","provider":"freetsa.org","sobre":"sello"},"original":{"titulo":"Cagataykacademy/caiso-nuclear-bess-dispatch: Data-Driven Nuclear Baseload and Battery Storage Dispatch Optimization under Duck Curve Uncertainty: A Conformalized Machine Learning Approach","descripcion":"<p>Reproduction package (code, processed data, figures, and results tables) for the manuscript \"Data-Driven Nuclear Baseload and Battery Storage Dispatch Optimization under Duck Curve Uncertainty: A Conformalized Machine Learning Approach\" (Cagatay Kuban), submitted to Applied Energy.</p> <p>Pipeline: EIA/CAISO data ingestion, XGBoost day-ahead net load forecasting, conformalized quantile regression, and robust MILP dispatch optimization of nuclear + gas + battery storage, with seasonal, sensitivity, stochastic- programming, annual-sweep, hydro, CCGT-granularity, and ERCOT analyses.</p>","pubDate":"2026-10-25T18:25:54Z","url":"https://doi.org/10.5281/zenodo.21501015"},"indexado":"2026-10-27T13:32:50.788Z"}}