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"A new framework integrating reinforcement learning, a rule-based exper" by Xinlei Zhou, Han Du et al.

This study presents a new framework that integrates machine learning and a domain knowledge-based expert system to improve building energy flexibility. In this framework, a rule-based expert system was used to maximize the self-consumption of solar photovoltaics (PV) power, while a reinforcement learning (RL) agent was constructed to efficiently optimize the grid power import for battery charging and facilitate decision-making for battery discharging in response to the time of use electricity pr...
Regression Tree Building Energy Flexibility Net Zero Energy Building Reinforcement Learning Rule Based Expert System
Source: uow.edu.au

Study: One out of three Canadians experienced severe loneliness in the second wave of COVID-19

Pandemic-induced public health measures, such as social distancing and stay-at-home orders, while successful in decreasing the transmission of COVID-19, could exacerbate pre-existing mental health challenges, including loneliness, one of the major public health concerns in pre-pandemic times.
Lamson Lin Shen Emily Henderson Behavioural Sciences University Of Toronto Factor Canadian Perspective Survey Series Affective Disorders

Oncotarget: Identification intermediate-risk subgroups in metastatic clear-cell renal cell carcinoma

Credit: Correspondence to - Laurence Albiges - Laurence.ALBIGES@gustaveroussy.fr The cover for issue 49 of Oncotarget features Figure 4, " CART-Tree analysis for overall survival in IMDC intermediate risk group," by Guida, et al.recently published in " A multivariable Cox model with backward selection procedure and a Classification and Regression Tree analysis were performed to identify which prognostic factors were associated to OS in IR patients. Median OS for patients with PLT > UNL was 18 m...
France General Laurence Albiges Albiges Research Team Regression Tree Oncotargetresearch Paper Business Economics

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