Renewable energy for sustainable development
This review article addresses the status of research within the application of renewable
energy sources. It focuses on the status of renewable technologies, the role of renewable …
energy sources. It focuses on the status of renewable technologies, the role of renewable …
[HTML][HTML] A review of the role of spatial resolution in energy systems modelling: Lessons learned and applicability to the North Sea region
The importance of spatial resolution for energy modelling has increased in the last years.
Incorporating more spatial resolution in energy models presents wide benefits, but it is not …
Incorporating more spatial resolution in energy models presents wide benefits, but it is not …
A deep learning-based evolutionary model for short-term wind speed forecasting: A case study of the Lillgrund offshore wind farm
Due to expanding global environmental issues and growing energy demand, wind power
technologies have been studied extensively. Accurate and robust short-term wind speed …
technologies have been studied extensively. Accurate and robust short-term wind speed …
Recent advances in renewable energy technology for the energy transition
This article presents some of the main findings from the SDEWES conferences of 2021
within the field of renewable energy. More specifically, results are summarized and …
within the field of renewable energy. More specifically, results are summarized and …
[HTML][HTML] Optimized ensemble model for wind power forecasting using hybrid whale and dipper-throated optimization algorithms
Introduction: Power generated by the wind is a viable renewable energy option. Forecasting
wind power generation is particularly important for easing supply and demand imbalances …
wind power generation is particularly important for easing supply and demand imbalances …
Artificial intelligence application for the performance prediction of a clean energy community
Abstract Artificial Neural Networks (ANNs) are proposed for sizing and simulating a clean
energy community (CEC) that employs a PV-wind hybrid system, coupled with energy …
energy community (CEC) that employs a PV-wind hybrid system, coupled with energy …
A novel prediction model for wind power based on improved long short-term memory neural network
J Wang, H Zhu, Y Zhang, F Cheng, C Zhou - Energy, 2023 - Elsevier
Wind power generation technology has attracted worldwide attention. However, its inherent
nonlinearity and uncertainty make itself hard to be accurately predicted. As a result …
nonlinearity and uncertainty make itself hard to be accurately predicted. As a result …
Latest progress in Sustainable Development using renewable energy technology
This article presents the latest developments within the energy technologies and methods
that can assist in the required transition towards sustainable energy systems [1]. The article …
that can assist in the required transition towards sustainable energy systems [1]. The article …
Advances in integration of energy, water and environment systems towards climate neutrality for sustainable development
The integration of energy, water and environment systems represents important
opportunities for addressing the urgent imperative of climate neutrality. The 29 original …
opportunities for addressing the urgent imperative of climate neutrality. The 29 original …
Enhanced marine predators algorithm for identifying static and dynamic photovoltaic models parameters
Providing an accurate and precise photovoltaic model is a vital stage prior to the system
design, therefore, this paper proposes a novel algorithm, enhanced marine predators …
design, therefore, this paper proposes a novel algorithm, enhanced marine predators …