[HTML][HTML] Data-driven energy management of virtual power plants: A review

G Ruan, D Qiu, S Sivaranjani, ASA Awad… - Advances in Applied …, 2024‏ - Elsevier
A virtual power plant (VPP) refers to an active aggregator of heterogeneous distributed
energy resources (DERs), which creates a promising pathway to expand renewable energy …

Integrated three-stage decentralized scheduling for virtual power plants: a model-assisted multi-agent reinforcement learning method

B Xu, W Luan, J Yang, B Zhao, C Long, Q Ai, J **ang - Applied Energy, 2024‏ - Elsevier
Virtual power plant (VPP) emerges as a promising integration and aggregation technology
that facilitates the utilization of massive flexible demand-side resources (DSRs). However …

Distributed real-time temperature and energy control of energy efficient buildings via geothermal heat pumps

X Wang, L Liang, X Zhang, H Sun - CSEE Journal of Power …, 2021‏ - ieeexplore.ieee.org
Geothermal heat pumps (GHPs) are a type of heating ventilation and air conditioning
(HVAC) systems that use low-temperature resources from soil and groundwater for …

GRU-integrated constrained soft actor-critic learning enabled fully distributed scheduling strategy for residential virtual power plant

X Deng, Y Chen, D Fan, Y Liu, C Ma - Global Energy Interconnection, 2024‏ - Elsevier
In this study, a novel residential virtual power plant (RVPP) scheduling method that
leverages a gate recurrent unit (GRU)-integrated deep reinforcement learning (DRL) …

[HTML][HTML] Dynamic Pricing of Customer Classes in Rail Transportation Systems Using Deep Q Network Algorithm

O Niknami, E Akhondzadeh Noughabi - Industrial Management Journal, 2024‏ - imj.ut.ac.ir
Objective This research investigates the problem of dynamic pricing in rail transportation
systems using advanced deep reinforcement learning techniques. The main goal is to …

قیمت‌گذاری پویای کلاس‌های مشتریان در سیستم‌های حمل‌ونقل ریلی با استفاده از الگوریتم شبکۀ عمیق Q‏

نیک‌نامی, امید, آخوندزاده نوقایی - مدیریت صنعتی, 2024 - imj.ut.ac.ir
هدف: در این پژوهش به بررسی مسئلۀ قیمت‌گذاری پویا در سیستم‌های حمل‌ونقل ریلی با استفاده از
تکنیک‌های پیشرفته یادگیری تقویتی عمیق پرداخته شده است. هدف اصلی این پژوهش …