4 papers
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…
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…
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…
Contracts in Electricity Markets under EU ETS: A Stochastic Programming Approach
Arega Getaneh Abate, Rossana Riccardi, Carlos Ruiz
The European Union Emission Trading Scheme (EU ETS) is a cornerstone of the EU's strategy to fight climate change and an important device for plummeting greenhouse gas (GHG) emissi…