Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark

A Directed Spanning Tree Adaptive Control Solution to Time-Varying Formations

A short-term preventive maintenance scheduling method for distribution networks with distributed generators and batteries

A market framework for grid balancing support through imbalances trading

Adaptive Asymptotic Tracking for a Class of Uncertain Switched Positive Compartmental Models with Application to Anesthesia

Parametrized Model Predictive Control Approaches for Urban Traffic Networks

Optimal Control Strategies for Seasonal Thermal Energy Storage Systems with Market Interaction

Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios

3d microstructure simulation of reactive aggregate in concrete from 2d images as the basis for asr simulation

Scenario-based nonlinear model predictive control for building heating systems

A Markov Traffic Model for Signalized Traffic Networks Based on Bayesian Estimation

Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles

Power Scheduling of Fuel Cell Cars in an Islanded Mode Microgrid with Private Driving Patterns

Nonlinear Systems with Uncertain Periodically Disturbed Control Gain Functions: Adaptive Fuzzy Control with Invariance Properties

Model predictive scheduling of semi-cyclic discrete-event systems using switching max-plus linear models and dynamic graphs

A generalizable and sensor-independent deep learning method for fault detection and location in low-voltage distribution grids

Real-World Scenario Mining for the Assessment of Automated Vehicles

Analysis and control of max-plus linear discrete-event systems: An introduction

Linear positive systems may have a reachable subset from the origin that is either polyhedral or nonpolyhedral

Optimal Control for Precision Irrigation of a Large‐Scale Plantation