The integrated optimization of all energy resources (exchanges with the grid, loads, storage, microgeneration) requires Autonomous Home Energy Management Systems (AHEMS) located behind the meter, which are equipped with optimization models and algorithms capable of making decisions according to the consumer’s preferences concerning the economic and comfort dimensions. For this purpose, it is...
In the era of energy transition, the quest of sustainability has accelerated the integration of renewable sources, highlighting the critical role of energy storage in enhancing the system’s flexibility. Within this circumstances, shared energy storage emerges as a crucial concept necessitating coordination for optimized operation of its different owners. Typical hydropower systems comprise...
In this paper we derive error bounds for one and two-dimensional expected value functions that depend on the Vitali variation of the joint probability density function of the corresponding random vector. Contrary to bounds from the literature, our bounds are not restricted to underlying functions that are one-dimensional and periodic. Moreover, we show that our new bounds are tighter when the...
This paper is an extension of a prior work on the optimization of the rate of penetration (ROP) using Differential Evolutionary Extreme Learning Machines (DEELM). ROP is a major concern in oil drilling industry. The optimization procedure aims eventually to identify drilling parameters resulting in a maximum ROP and minimum drilling cost. In this work we propose the usage of a variant of...
Many engineering applications deal with systems which can be modeled adequately by nonlinear DAEs with mixed-integer variable spaces. For this generic case, no structured representation - like the parameter matrices for continuous-variable linear DAEs - are possible. This changes, if the occuring functions are restricted to be multilinear, where the parameters can be represented as tensors....
