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Found 5 papers, 2 papers with code
Probabilistic Forecasting of Imbalance Prices in the Belgian Context
This matrix is then used to infer the imbalance prices since the net regulation volume can be related to the level of reserves activated and the corresponding marginal prices for each activation level are published by the Belgian Transmission System Operator one day before electricity delivery.
Allocation of locally generated electricity in renewable energy communities
Local electricity markets represent a way of supplementing traditional retailing contracts for end consumers -- among these markets, the renewable energy community has gained momentum over the last few years.
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent
We assess the performance of our algorithm in three environments concerned with the design and control of a mass-spring-damper system, a small-scale off-grid power system and a drone, respectively.
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning
We propose a novel model based reinforcement learning algorithm that is able to address both types of changes.
Model-based Reinforcement Learning
reinforcement-learning
+1
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding
In this paper, we propose a novel modelling framework for the strategic participation of energy storage in the European continuous intraday market where exchanges occur through a centralized order book.
