Taxonomy research of artificial intelligence for deterministic solar power forecasting

H Wang, Y Liu, B Zhou, C Li, G Cao, N Voropai… - Energy Conversion and …, 2020 - Elsevier
With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …

A review on the integration and optimization of distributed energy systems

F Ren, Z Wei, X Zhai - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The depletion of fossil fuels and climate change pose huge challenges to sustainable
development. How to meet the increasing energy demands in an efficient and …

Multi-objective optimization and evaluation of hybrid CCHP systems for different building types

F Ren, Z Wei, X Zhai - Energy, 2021 - Elsevier
The hybridization between renewable energy and fossil energy in energy supply system is a
feasible solution to reduce the fossil energy consumption and CO 2 emission. The hybrid …

[HTML][HTML] Multi-objective and multi-algorithm operation optimization of integrated energy system considering ground source energy and solar energy

X Wu, B Liao, Y Su, S Li - International Journal of Electrical Power & Energy …, 2023 - Elsevier
The optimized operation of integrated energy systems (IES) is of great significance to reduce
carbon emissions and improve the overall efficiency of the system, at present, IES planning …

Multitasking multi-objective operation optimization of integrated energy system considering biogas-solar-wind renewables

T Wu, S Bu, X Wei, G Wang, B Zhou - Energy conversion and management, 2021 - Elsevier
The optimal operation of integrated energy systems (IESs) is of great significance to facilitate
the penetration of distributed generators and improve its overall efficiency. A grid-connected …

Performance evaluation of solar hybrid combined cooling, heating and power systems: A multi-objective arithmetic optimization algorithm

LL Li, XY Ren, ML Tseng, DS Wu, MK Lim - Energy Conversion and …, 2022 - Elsevier
The coupling of solar thermal and photovoltaic technologies with combined cooling, heating
and power systems has significant impacts on the reduction of fossil fuel consumption and …

Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system

G Fu - Energy, 2018 - Elsevier
Due to the high energy consumption in buildings, cooling load forecasting plays a crucial
role in the planning, control and operation of heating, ventilating and air-conditioning …

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 …

Performance assessment of combined cooling, heating and power system operation strategy based on multi-objective seagull optimization algorithm

LL Li, SJ Zheng, ML Tseng, YW Liu - Energy Conversion and Management, 2021 - Elsevier
This study proposes a novel operation strategy named following the state of thermal storage
tank (FST) to enhance the economic, energy and environmental performance of combined …

A wind energy supplier bidding strategy using combined ega-inspired hpsoifa optimizer and deep learning predictor

R Zhang, S Aziz, MU Farooq, KN Hasan, N Mohammed… - Energies, 2021 - mdpi.com
As the integration of large-scale wind energy is increasing into the electricity grids, the role
of wind energy suppliers should be investigated as a price-maker as their participation …