107 citations · 147 across the 41 of their papers we have counts for
9 papers · 1 filter
Appendix for Nonparametric Multivariate Probability Density Forecast in Smart Grids With Deep Learning
Zichao Meng, Ye Guo, Wenjun Tang +1
This paper proposes a nonparametric multivariate density forecast model based on deep learning. It not only offers the whole marginal distribution of each random variable in foreca…
Reducing Action Space: Reference-Model-Assisted Deep Reinforcement Learning for Inverter-based Volt-Var Control
Qiong Liu, Ye Guo, Lirong Deng +3
Reference-model-assisted deep reinforcement learning (DRL) for inverter-based Volt-Var Control (IB-VVC) in active distribution networks is proposed. We investigate that a large act…
Smart Meters Integration in Distribution System State Estimation with Collaborative Filtering and Deep Gaussian Process
Yifei Xu, Ye Guo, Wenjun Tang +3
The problem of state estimations for electric distribution system is considered. A collaborative filtering approach is proposed in this paper to integrate the slow time-scale smart…
Energy-grade double pricing mechanism for a combined heat and power system using the asynchronous dispatch method
Xinyi Yi, Ye Guo, Hongbin Sun +2
The problem of heat and electricity pricing in combined heat and power systems regarding the time scales of electricity and heat, as well as thermal energy quality, is studied. Bas…
A Multiple Market Trading Mechanism for Electricity, Renewable Energy Certificate and Carbon Emission Right of Virtual Power Plants
Zhihong Huang, Ye Guo, Qiuwei Wu +2
A multiple market trading mechanism for the VPP to participate in electricity, renewable energy certificate (REC) and carbon emission right (CER) markets is proposed. With the intr…
MPC-Based Operation Strategy for Electric Vehicle Aggregators Considering Regulation Markets
Liling Gong, Ye Guo, Hongbin Sun
The optimal operation problem of electric vehicle aggregator (EVA) is considered. An EVA can participate in energy and regulation markets with its current and upcoming EVs, thus re…
Energy-Grade Double Pricing Rule in the Heating Market
Xinyi Yi, Ye Guo, Hongbin Sun
The problem of heat system pricing is considered. A direct extension of locational marginal prices (LMP) in electricity markets to heat systems may lead to revenue inadequate issue…
Joint Covering Congestion Rents in Multi-area Power Systems Considering Loop Flow Effects
Hao Liu, Ye Guo, Haitian Liu +1
We consider the problem of how multiple areas should jointly cover congestion rents of internal and tie-lines in an interconnected power system. A key issue of our concern is the l…
Reducing Learning Difficulties: One-Step Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control
Qiong Liu, Ye Guo, Lirong Deng +4
A one-step two-critic deep reinforcement learning (OSTC-DRL) approach for inverter-based volt-var control (IB-VVC) in active distribution networks is proposed in this paper. Firstl…