5 papers
Cost-benefit analysis of an AI-driven operational digital platform for integrated electric mobility, renewable energy, and grid management
Arega Getaneh Abate, Xiaobing Zhang, Xiufeng Liu +1
Integrating electric mobility, including electric vehicles (EVs), electric trucks (ETs), and renewable energy sources (RES) with the power grid is paramount for decarbonization, ef…
Feature-driven reinforcement learning for photovoltaic in continuous intraday trading
Arega Getaneh Abate, Xiao-Bing Zhang, Xiufeng Liu +1
Sequential intraday electricity trading allows photovoltaic (PV) operators to reduce imbalance settlement costs as forecasts improve throughout the day. Yet deployable trading poli…
Structure-Dependent Regret and Constraint Violation Bounds for Online Convex Optimization with Time-Varying Constraints
Xiufeng Liu, Qian Chen, Zhijin Wang +1
Online convex optimization (OCO) with time-varying constraints is a critical framework for sequential decision-making in dynamic networked systems, where learners must minimize cum…
Bidding strategies for energy storage players in 100% renewable electricity market: A game-theoretical approach
Arega Getaneh Abate, Dogan Keles, Salim Hassi +2
Large-scale energy storage is expected to be a pivotal source of flexibility in electricity systems supplied entirely by renewable energy sources (RES). However, its strategic role…
Solar PV Installation Potential Assessment on Building Facades Based on Vision and Language Foundation Models
Ruyu Liu, Dongxu Zhuang, Jianhua Zhang +4
Building facades represent a significant untapped resource for solar energy generation in dense urban environments, yet assessing their photovoltaic (PV) potential remains challeng…