ROBUST OPTIMISATION OF ELECTRICITY‐HEATING INTEGRATED ENERGY SYSTEM BASED ON DATA‐DRIVEN PV INTERVAL ESTIMATION

Robust optimisation of electricity‐heating integrated energy system based on data‐driven PV interval estimation

Abstract Short‐term interval estimation can effectively and precisely quantify the uncertainties of renewable energy, accurately represent the range of fluctuations of uncertain variables in robust optimisation of electricity‐heating integrated energy system (EHIES) and it is getting crucial for reliable and flexible operation of renewable Jewe

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Evaluation of the Worldwide Occurrence of Rabies in Dogs and Cats Using a Simple and Homogenous Framework for Quantitative Risk Assessments of Rabies Reintroduction in Disease-Free Areas through Pet Movements

Dog and cat rabies cases imported from rabies enzootic countries represent a major threat for areas that have acquired rabies-free status and quantitative risk analyses (QRAs) are developed in order to assess this risk of rabies reintroduction through dog and cat movements.Herein we describe a framework to evaluate dog and cat rabies incidence leve

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