Machine learning solutions for offshore wind farms: A review of applications and impacts

M Masoumi - Journal of Marine Science and Engineering, 2023 - mdpi.com
The continuous advancement within the offshore wind energy industry is propelled by the
imperatives of renewable energy generation, climate change policies, and the zero …

Advanced wave energy conversion technologies for sustainable and smart sea: A comprehensive review

H Li, X Shi, W Kong, L Kong, Y Hu, X Wu, H Pan… - Renewable Energy, 2024 - Elsevier
The world's oceans, covering approximately 71% of the Earth's surface, harbor vast wave
energy resources, offering a potential solution to the pressing energy crisis and …

DeepVELOX: INVELOX wind turbine intelligent power forecasting using hybrid GWO–GBR algorithm

A Safari, H Kheirandish Gharehbagh, M Nazari Heris - Energies, 2023 - mdpi.com
The transition to sustainable electricity generation depends heavily on renewable energy
sources, particularly wind power. Making precise forecasts, which calls for clever predictive …

Predicting power and hydrogen generation of a renewable energy converter utilizing data-driven methods: a sustainable smart grid case study

F Mirshafiee, E Shahbazi, M Safi, R Rituraj - Energies, 2023 - mdpi.com
This study proposes a data-driven methodology for modeling power and hydrogen
generation of a sustainable energy converter. The wave and hydrogen production at …

Unlocking the potential: A review of artificial intelligence applications in wind energy

S Dörterler, S Arslan, D Özdemir - Expert Systems, 2024 - Wiley Online Library
This paper presents a comprehensive review of the most recent papers and research trends
in the fields of wind energy and artificial intelligence. Our study aims to guide future research …

[HTML][HTML] Reviewing sector coupling in offshore energy system integration modelling: the North Sea context

A Peecock, J Huang, A Martinez-Felipe… - … and Sustainable Energy …, 2025 - Elsevier
Offshore energy system integration is particularly important for realising a rapid and cost-
effective low-carbon energy transition in the North Sea region. Effective implementation of …

A bibliometric review of hybrid offshore renewable energy and the optimization methods

H Khurshid, CY Ng, BS Mohammed - Ocean Engineering, 2024 - Elsevier
This study presents a comprehensive bibliometric review of hybrid offshore renewable
energy sources (HORES) and their optimization methods over the past 24 years. The …

Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue

P Pijarski, A Belowski - Energies, 2024 - mdpi.com
The challenges currently faced by network operators are difficult and complex. Presently,
various types of energy sources with random generation, energy storage units operating in …

Short-Term Wind Forecasting with Weather Data using Deep Learning-Case Study in Baron Techno Park

H Halidah, N Hesty, P Aji, D Amelia, K Akhmad - 2023 - catalog.lib.kyushu-u.ac.jp
In a microgrid with small-scale renewable sources, the unpredictable and highly variable
nature of wind necessitates the adoption of reliable wind forecasting technologies. This …

Hybrid deep learning-based grid-supportive renewable energy systems for maximizing power generation using optimum sizing

S Kirubakaran, V Nagarajan… - Electric Power …, 2023 - Taylor & Francis
The hybrid electricity production idea is a technology designed to produce and use electrical
energy from many sources as part of an integrated setup. The combined size and power …