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A review of current challenges and trends in energy systems modeling
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
(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
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) …
steady-state analysis and the efficient optimization of the integrated energy system (IES) …
Digital twin assisted economic dispatch for energy internet with information entropy
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) …
to deal with the uncertainty of renewable energy in the economic dispatch problem (EDP) …