A review of current challenges and trends in energy systems modeling

P Lopion, P Markewitz, M Robinius, D Stolten - Renewable and sustainable …, 2018 - Elsevier
The requirements made on energy system models have changed during the last few
decades. New challenges have arisen with the implementation of high shares of Renewable …

Statistical machine learning model for capacitor planning considering uncertainties in photovoltaic power

X Fu - Protection and Control of Modern Power Systems, 2022 - ieeexplore.ieee.org
New energy integration and flexible demand response make smart grid operation scenarios
complex and changeable, which bring challenges to network planning. If every possible …

Planning of distributed renewable energy systems under uncertainty based on statistical machine learning

X Fu, X Wu, C Zhang, S Fan… - Protection and Control of …, 2022 - ieeexplore.ieee.org
The development of distributed renewable energy, such as photovoltaic power and wind
power generation, makes the energy system cleaner, and is of great significance in reducing …

Solar irradiation prediction with machine learning: Forecasting models selection method depending on weather variability

A Fouilloy, C Voyant, G Notton, F Motte, C Paoli… - Energy, 2018 - Elsevier
Eleven statistical and machine learning tools are analyzed and applied to hourly solar
irradiation forecasting for time horizon from 1 to 6 h. A methodology is presented to select …

Wind-photovoltaic co-generation prediction and energy scheduling of low-carbon complex regional integrated energy system with hydrogen industry chain based on …

C Gao, J Lin, J Zeng, F Han - Applied Energy, 2022 - Elsevier
The application of hydrogen is promising for achieving carbon neutrality. To promote
hydrogen utilization and carbon emission reduction, this paper attempts to integrate the …

Situation awareness of energy internet of things in smart city based on digital twin: From digitization to informatization

X He, Q Ai, J Wang, F Tao, B Pan… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Rapid growth of diversity, uncertainty, and coupling effect of units in modern energy systems
jointly challenges the traditional model-based situation awareness (SA) in Energy Internet of …

Adaptive robust energy and reserve co-optimization of integrated electricity and heating system considering wind uncertainty

J Tan, Q Wu, Q Hu, W Wei, F Liu - Applied Energy, 2020 - Elsevier
The uncertainty and variability of wind power pose significant challenges to secure and
reliable operation of power systems. Coordinated operation of the electric power system and …

A hybrid fuzzy multi-criteria decision-making approach for performance analysis and evaluation of park-level integrated energy system

J Zhou, Y Wu, C Wu, Z Deng, C Xu, Y Hu - Energy Conversion and …, 2019 - Elsevier
This paper aims to promote the further healthy development of integrated energy system
(IES) through comprehensive performance analysis and evaluation. Firstly, the criteria …

A dual-driven linear modeling approach for multiple energy flow calculation in electricity–heat system

H Tian, H Zhao, C Liu, J Chen, Q Wu, V Terzija - Applied Energy, 2022 - Elsevier
The multiple energy flow (MEF) model is inherently nonlinear, which challenges the fast
steady-state analysis and the efficient optimization of the integrated energy system (IES) …

Digital twin assisted economic dispatch for energy internet with information entropy

R Ren, Y Li, Q Sun, X **e, L Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
As the percentage of renewable energy in the Energy Internet (EI) gradually increases, how
to deal with the uncertainty of renewable energy in the economic dispatch problem (EDP) …