Introduction to power market data and their characteristics.- Modeling load forecasting uncertainty using deep learning models.- Data-driven load data cleaning and its impacts on forecasting performan ...Celý popis
Introduction to power market data and their characteristics.- Modeling load forecasting uncertainty using deep learning models.- Data-driven load data cleaning and its impacts on forecasting performance.- Generalized cost-oriented load forecasting in economic dispatch.- A monthly electricity consumption forecasting method.- Data-driven pattern extraction for analyzing market bidding behaviors.- Stochastic optimal offering based on probabilistic forecast on aggregated supply curves.- Power market simulation framework based on learning from individual offering strategy.- Deep inverse reinforcement learning for reward function identification in bidding models.- The subspace characteristics and congestion identification of LMP data.- Online transmission topology identification in LMP-based markets.- Day-ahead componential electricity price forecasting.- Quantifying the impact of price forecasting error on market bidding.- Virtual bidding and FTR speculation based on probabilistic LMP forecasting.- Abnormal detection of LMP scenario and data with deep neural networks.
Prečo nakupovať na Enbooku?
VEĽKÝ VÝBER
Ponúkame milióny kníh v angličtine. Od beletrie až po tie najodbornejšie odborné.
POŠTOVNÉ ZADARMO
Poštovné už od 2,99 € a pri objednávke nad 60 € doprava na pobočku Zásielkovne zadarmo
SKVELÉ CENY
Ceny kníh sa snažíme držať pri zemi a vždy pod cenou odporúčanou vydavateľom, aby si ich mohol kúpiť naozaj každý.
OVERENÉ ZÁKAZNÍKMI
Získali sme certifikát "Overené zákazníkmi" na Heureka.sk. Prezrite si naše recenzie
ONLINE PODPORA
Môžete využiť online chat, email alebo nám zatelefonovať.