[HTML][HTML] Market mechanisms for local electricity markets: A review of models, solution concepts and algorithmic techniques

G Tsaousoglou, JS Giraldo, NG Paterakis - Renewable and Sustainable …, 2022 - Elsevier
The rapidly increasing penetration of distributed energy resources (DERs) calls for a
hierarchical framework where aggregating entities handle the energy management …

Multi-agent deep reinforcement learning for HVAC control in commercial buildings

L Yu, Y Sun, Z Xu, C Shen, D Yue… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In commercial buildings, about 40%-50% of the total electricity consumption is attributed to
Heating, Ventilation, and Air Conditioning (HVAC) systems, which places an economic …

Demand response of HVAC systems for hosting capacity improvement in distribution networks: A comprehensive review and case study

H Hwang, A Yoon, Y Yoon, S Moon - Renewable and Sustainable Energy …, 2023 - Elsevier
With the declaration of the net-zero emission pledge by 2050, improving the hosting capacity
of distributed generations is crucial for the distribution system operators to operate the …

Multi-objective control of residential HVAC loads for balancing the user's comfort with the frequency regulation performance

D Zhang, C Li, S Luo, D Luo… - … on Smart Grid, 2022 - ieeexplore.ieee.org
In this paper, a comprehensive solution is proposed for the optimal scheduling of Heating,
Ventilation, and Air-Conditioning (HVAC) loads to balance the user's comfort with the …

[PDF][PDF] Stackelberg 博弈在电力市场中的应用研究综述

张衡, 张沈习, 程浩忠, 张希鹏… - TRANSACTIONS OF …, 2022 - dgjsxb.ces-transaction.com
摘要可再生能源并网常态化, 储能投资商业化, 需求侧管理多样化, 多能互补成熟化等在电力系统
源, 网, 荷侧引入的利益主体不断增多, 而受自身规模, 所处市场地位不同造成了决策次序的差异 …

A hierarchical price-based demand response framework in distribution network

VC Pandey, N Gupta, KR Niazi… - … on Smart Grid, 2021 - ieeexplore.ieee.org
In the evolving local retail electricity market hierarchy, demand response providers (DRPs)
are becoming viable interlink for the interaction between distribution system operator (DSO) …

A supervised-learning-based strategy for optimal demand response of an HVAC system in a multi-zone office building

YJ Kim - IEEE Transactions on Smart Grid, 2020 - ieeexplore.ieee.org
The thermal capacity of buildings enables heating, ventilating, and air-conditioning (HVAC)
systems to be exploited as demand response (DR) resources. Optimal DR of HVAC units is …

Fast Wasserstein-distance-based distributionally robust chance-constrained power dispatch for multi-zone HVAC systems

G Chen, H Zhang, H Hui, Y Song - IEEE Transactions on Smart …, 2021 - ieeexplore.ieee.org
Heating, ventilation, and air-conditioning (HVAC) systems play an increasingly important
role in the construction of smart cities because of their high energy consumption and …

Retail electricity pricing via online-learning of data-driven demand response of HVAC systems

AY Yoon, YJ Kim, T Zakula, SI Moon - Applied energy, 2020 - Elsevier
This paper proposes an online-learning-based strategy for a distribution system operator
(DSO) to determine optimal retail prices, considering the optimal operations of heating …

Supervised-learning-based optimal thermal management in an electric vehicle

J Park, Y Kim - IEEE Access, 2019 - ieeexplore.ieee.org
Due to the increasing market share of electric vehicles (EVs), the optimal thermal
management (TM) of batteries has recently received significant attention. Optimal battery …