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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 prices. Meanwhile, a Classification and Regression Tree (CART) model was developed to quantitatively analyze the relationships between building energy flexibility and external variables of interest to enhance the explainability of the framework. This work integrates the advantages of safety and simpleness of the domain knowledge-based expert system and the exploration and optimization capability of RL into building energy management. The performance of the proposed framework was evaluated using th ....

Regression Tree , Building Energy Flexibility , Net Zero Energy Building , Reinforcement Learning , Rule Based Expert System ,

New Risk Management Study Findings Recently Were Published by Researchers at ADVANCE (The Role of Emotions and Knowledge on Preference for Uncertainty: Follow Your Heart but Listen to Your Brain!): Insurance – Risk Management

New Risk Management Study Findings Recently Were Published by Researchers at ADVANCE (The Role of Emotions and Knowledge on Preference for Uncertainty: Follow Your Heart but Listen to Your Brain!): Insurance – Risk Management
insurancenewsnet.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from insurancenewsnet.com Daily Mail and Mail on Sunday newspapers.

Tania Saraiva , Tiago Cruz Goncalves , Business School , Insurance Daily , Reporter Staff News Editor , Regression Tree , Your Heart ,

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 , City University , Hong Kong , Factor Inwentash Faculty , Regression Tree , Assistant Professor , Covid 19 , Machine Learning , Mental Health , Public Health ,