[HTML][HTML] Generating synthetic energy time series: A review
M Turowski, B Heidrich, L Weingärtner… - … and Sustainable Energy …, 2024 - Elsevier
As the energy system transitions to an intelligent smart grid with a mostly renewable energy
supply, synthetic energy time series are required to facilitate the development and …
supply, synthetic energy time series are required to facilitate the development and …
Operation orchestration of local energy communities through digital twin: A review on suitable modeling and simulation approaches
Increasing the integration of distributed energy resources (DERs) requires an orchestration
of the existing centralized management system used for the electricity grid and the emerging …
of the existing centralized management system used for the electricity grid and the emerging …
Multi-agent-based decentralized residential energy management using Deep Reinforcement Learning
In smart grid, energy consumption has grown exponentially in residential houses, which
necessitates the adoption of demand response management. To alleviate and handle the …
necessitates the adoption of demand response management. To alleviate and handle the …
[HTML][HTML] Community energy storage operation via reinforcement learning with eligibility traces
The operation of a community energy storage system (CESS) is challenging due to the
volatility of photovoltaic distributed generation, electricity consumption, and energy prices …
volatility of photovoltaic distributed generation, electricity consumption, and energy prices …
[HTML][HTML] The activation of congestion service contracts for budget-constrained congestion management
B van der Holst, G Verhoeven, PH Nguyen… - Electric Power Systems …, 2024 - Elsevier
Several European distribution system operators (DSOs) are currently grappling with network
congestion. New Dutch grid codes have specified two novel bilateral contracts for flexibility …
congestion. New Dutch grid codes have specified two novel bilateral contracts for flexibility …
[HTML][HTML] Comparative assessment of generative models for transformer-and consumer-level load profiles generation
Residential load profiles (RLPs) play an increasingly important role in the optimal operation
and planning of distribution systems, particularly with the rising integration of low-carbon …
and planning of distribution systems, particularly with the rising integration of low-carbon …
Risk-Aware Operating Regions for PV-rich distribution networks considering irradiance variability
This article proposes a framework to identify, visualize, and quantify risk of potential
over/under voltage due to annual energy consumption and PV generation growth. The …
over/under voltage due to annual energy consumption and PV generation growth. The …
A data-driven approach to predict hourly load profiles from time-of-use electricity bills
P Lazzeroni, G Lorenti, M Repetto - IEEE Access, 2023 - ieeexplore.ieee.org
The design of renewable-based and collective energy systems requires consumption data
with fine temporal and spatial resolution. Despite the increasing deployment of smart meters …
with fine temporal and spatial resolution. Despite the increasing deployment of smart meters …
A study on black screen fault detection of single-phase smart energy meter based on random forest binary classifier
H Xu, P Li, J Wang, W Liang - Measurement, 2025 - Elsevier
The intricacies surrounding the induction of black screen faults in smart watt-hour meters
pose a significant challenge, particularly given the vast amount of data training samples and …
pose a significant challenge, particularly given the vast amount of data training samples and …
[HTML][HTML] Tensor power flow formulations for multidimensional analyses in distribution systems
In this paper, we present two multidimensional power flow formulations based on a fixed-
point iteration (FPI) algorithm to efficiently solve hundreds of thousands of Power flows (PFs) …
point iteration (FPI) algorithm to efficiently solve hundreds of thousands of Power flows (PFs) …