197 citations · 381 across the 9 of their papers we have counts for
9 papers
Ensuring reliability in 100% renewable microgrids: a scenario-based joint planning and operational design framework
Mohammed Zeehan Saleheen, Markus Wagner, Hao Wang
Off-grid microgrids powered entirely by renewable energy sources face substantial challenges in achieving utility-grade reliability standards. Existing microgrid planning framework…
A Multi-View Multi-Timescale Hypergraph-Empowered Spatiotemporal Framework for EV Charging Forecasting
Jinhao Li, Hao Wang
Accurate electric vehicle (EV) charging demand forecasting is essential for stable grid operation and proactive EV participation in electricity market. Existing forecasting methods…
Investigating State-of-the-Art Planning Strategies for Electric Vehicle Charging Infrastructures in Coupled Transport and Power Networks: A Comprehensive Review
Jinhao Li, Arlena Chew, Hao Wang
Electric vehicles (EVs) have emerged as a pivotal solution to reduce greenhouse gas emissions paving a pathway to net zero. As the adoption of EVs continues to grow, countries are…
Human-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiency
Xinyu Liang, Frits de Nijs, Buser Say +1
Heating, Ventilation, and Air Conditioning (HVAC) systems account for approximately 38% of building energy consumption globally, making them one of the most energy-intensive servic…
Learning and Generating Diverse Residential Load Patterns Using GAN with Weakly-Supervised Training and Weight Selection
Xinyu Liang, Hao Wang
The scarcity of high-quality residential load data can pose obstacles for decarbonizing the residential sector as well as effective grid planning and operation. The above challenge…
Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Method
Xinyu Liang, Ziheng Wang, Hao Wang
Generating synthetic residential load data that can accurately represent actual electricity consumption patterns is crucial for effective power system planning and operation. The n…
Proximal Policy Optimization Based Reinforcement Learning for Joint Bidding in Energy and Frequency Regulation Markets
Muhammad Anwar, Changlong Wang, Frits de Nijs +1
Driven by the global decarbonization effort, the rapid integration of renewable energy into the conventional electricity grid presents new challenges and opportunities for the batt…
Smart Online Charging Algorithm for Electric Vehicles via Customized Actor-Critic Learning
Yongsheng Cao, Hao Wang, Demin Li +1
With the advances in the Internet of Things technology, electric vehicles (EVs) have become easier to schedule in daily life, which is reshaping the electric load curve. It is impo…
Virtual Energy Storage Sharing and Capacity Allocation
Dongwei Zhao, Hao Wang, Jianwei Huang +1
Energy storage can play an important role in energy management of end users. To promote an efficient utilization of energy storage, we develop a novel business model to enable virt…