Reinforcement learning and its applications in modern power and energy systems: A review
With the growing integration of distributed energy resources (DERs), flexible loads, and
other emerging technologies, there are increasing complexities and uncertainties for …
other emerging technologies, there are increasing complexities and uncertainties for …
A review on the selected applications of forecasting models in renewable power systems
This paper presents a literature review on the selected applications of renewable resource
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …
and power forecasting models to facilitate the optimal integration of renewable energy (RE) …
Reinforcement learning in sustainable energy and electric systems: A survey
The dynamic nature of sustainable energy and electric systems can vary significantly along
with the environment and load change, and they represent the features of multivariate, high …
with the environment and load change, and they represent the features of multivariate, high …
Agent-based modelling and socio-technical energy transitions: A systematic literature review
Agent-based modelling has the potential to provide insight into complex energy transition
dynamics. Despite a recent emphasis of research on agent-based modelling and on energy …
dynamics. Despite a recent emphasis of research on agent-based modelling and on energy …
[HTML][HTML] Effect of market design on strategic bidding behavior: Model-based analysis of European electricity balancing markets
Market-based procurement of balancing services in Europe is prone to strategic bidding due
to the relatively small market size and a limited number of providers. In the European Union …
to the relatively small market size and a limited number of providers. In the European Union …
Bidding strategy for trading wind energy and purchasing reserve of wind power producer–A DRL based approach
Wind power producers (WPP) are punished when take part in the short-term electricity
market due to the inaccuracy of wind power prediction. The profit loss can be partially offset …
market due to the inaccuracy of wind power prediction. The profit loss can be partially offset …
Assessing the plurality of actors and policy interactions: agent‐based modelling of renewable energy market integration
M Deissenroth, M Klein, K Nienhaus, M Reeg - Complexity, 2017 - Wiley Online Library
The ongoing deployment of renewable energy sources (RES) calls for an enhanced
integration of RES into energy markets, accompanied by a new set of regulations. In …
integration of RES into energy markets, accompanied by a new set of regulations. In …
Artificial intelligence and mathematical models of power grids driven by renewable energy sources: A survey
To face the impact of climate change in all dimensions of our society in the near future, the
European Union (EU) has established an ambitious target. Until 2050, the share of …
European Union (EU) has established an ambitious target. Until 2050, the share of …
Impact of wind penetration in electricity markets on optimal power-to-heat capacities in a local district heating system
While the share of intermittent renewable energy sources in a power sector is constantly
increasing, demand response technologies are becoming a crucial part of interconnected …
increasing, demand response technologies are becoming a crucial part of interconnected …
Agent based simulation of centralized electricity transaction market using bi-level and Q-learning algorithm approach
E Namalomba, H Feihu, H Shi - International journal of electrical power & …, 2022 - Elsevier
The market participants face risks in market price fluctuations and uncertainties in the
demand behaviour, regardless of the series of restructuring reforms of China power industry …
demand behaviour, regardless of the series of restructuring reforms of China power industry …