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"Data-driven surrogate optimization for deploying heterogeneous multi-e" by Haoshan Ren, Dian ce Gao et al.

Energy storage such as battery and thermal energy storage is an effective approach to shift building peak load and alleviate grid stress at a building cluster level. However, due to the heterogeneous performance of different types of storage (e.g., response speed, charge/discharge efficiency and rate, storage capacity) and highly diversified energy use patterns of individual buildings, the multi-energy storage should be properly selected and optimally designed for individual buildings to achieve effective load shifting. The optimal deployment of multi-energy storage at a cluster level is a challenging optimization problem due to the nonlinear dynamic performance of the multi-energy storage and the high dimensionality as a result of a large number of buildings. To tackle the challenges, this study proposes a data-driven surrogate optimization method that optimally deploys multi-energy storage at a cluster level to minimize the building cluster energy bill under demand response programs. ....

Building Cluster , Data Driven Optimization , Demand Response , Energy Flexibility , Energy Storage , Ptimal Deployment ,

Business News | Vertoz and JioCoupons Team Up to Transform Coupon Monetization Landscape

Get latest articles and stories on Business at LatestLY. Mumbai (Maharashtra) [India], October 31: Vertoz (NSEI: VERTOZ), a leading Technology Platform Enterprise, is delighted to announce an exciting collaboration with JioCoupons, a leading online coupon network in India, a product of Jio Platforms Limited. Vertoz will serve as its sales representation partner, utilizing its local ad sales team to bring advertisers on board and revolutionize the world of coupon monetization. Business News | Vertoz and JioCoupons Team Up to Transform Coupon Monetization Landscape. ....

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Digital Edify, DTBU aunches gamut of new services starting 2023

Digital Edify, DTBU aunches gamut of new services starting 2023
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Machine learning techniques from Imperial and BASF advance experimental design

Machine learning techniques from Imperial and BASF advance experimental design
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Ruth Misener , David Walz , Christian Holtze , Alexander Thebelt , Robertm Lee , Behrang Shafei , Senior Research , Centre For Doctoral Training In Statistics , Optimization In Imperial Department Of Computing , Basf Raeng Research , Academic Partnership Developer , Sciences Research Council , Research Chair , Data Driven Optimization , Senior Research Engineer , Professor Ruth Misener , Physical Sciences Research Council , Doctoral Training ,

Sandia Supercomputing Researcher Drew Kouri Awarded Early-Career Research Program Grant

ALBUQUERQUE, N.M., Oct. 14, 2021 Working to solve a problem, supercomputing researchers may encounter incomplete data or flawed programs. For both ....

Rice University , United States , Kim Jackson , Department Of Energy , Career Research Program , Scientific Computing Research , Department Of Energy Early , Energy Jenniferm Granholm , Sandia National Laboratories , Career Research Program Grant , Drew Kouri , National Laboratories , Early Career Research Program Grant , Optimization Letters , Energy Early Career Research Program , Fault Tolerant Algorithms , Data Driven Optimization , Advanced Scientific Computing Research , Energy Jennifer , Adaptive Solution , Optimization Problems Governed , Partial Differential Equations , Uncertain Coefficients , Optimize Extreme Scale , Early Career ,