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"A framework to formulate and aggregate performance indicators to quant" by Muhammad Bilal Awan, Yongjun Sun et al.

Building energy flexibility is being considered an emerging strategy allowing the demand side actively support the operation and control of variable resources-based energy supply. This study presents the development of a framework to formulate and aggregate energy flexibility indicators (EFIs) to evaluate building energy flexibility. EFIs were developed/selected using the important characteristics of building energy flexible sources, performance factors linked with flexibility services and penalty factors posed by the grid. A multicriteria decision analysis method was then used to develop an Aggregated Energy Flexibility Potential (AEFP) function that can consider the interactions between the power grid, buildings and building energy systems to represent the building's overall energy flexibility potential with a single dimensionless value. AEFP can help determine cost-effective energy flexible sources and solutions for increased energy flexibility. The performance of the EFIs and ....

Energy Flexibility Potential , Aggregated Energy Flexibility Potential , Building Energy Flexibility , Lexible Sources ,

"Building Energy Flexibility and Demand Management" by Zhenjun Ma, Müslüm Arıcı et al.

Building Energy Flexibility and Demand Management looks at the high penetration of intermittent renewable energy sources and the need for increased flexibility. Ensuring electrical power systems adapt to dynamic energy demand and supply conditions, the book supports the transition to a renewable energy future with current fluctuating power generation. By facilitating the penetration of renewable energy sources into the building sector and balancing electricity supply with demand in real-time, this book will provide fundamental concepts, theories, and methods to understand, quantify, design and optimize building energy flexibility. In addition, the book also provides case studies with emerging technologies to enhance building energy flexibility and demonstrate how demand management strategies can utilize energy flexibility for demand reduction and load shifting. It will be useful for all those researchers and engineers working in flexible energy systems and advanced demand side manageme ....

Building Energy Flexibility , Energy Flexibility , Demand Management ,

"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 ,