28 citations · 50 across the 8 of their papers we have counts for
8 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…
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…
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…
Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm
Arega Getaneh Abate, Dorsa Majdi, Jalal Kazempour +1
It is a common practice in the current literature of electricity markets to use game-theoretic approaches for strategic price bidding. However, they generally rely on the assumptio…
Contract design in electricity markets with high penetration of renewables: A two-stage approach
Arega Getaneh Abate, Rossana Riccardi, Carlos Ruiz
The interplay between risk aversion and financial derivatives has received increasing attention since the advent of electricity market liberalization. One important challenge in th…
Dynamic tariff-based demand response in retail electricity market under uncertainty
Arega Getaneh Abate, Rosana Riccardi, Carlos Ruiz
Demand response (DR) programs play a crucial role in improving system reliability and mitigating price volatility by altering the core profile of electricity consumption. This pape…
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…