Application of big data and machine learning in smart grid, and associated security concerns: A review
This paper conducts a comprehensive study on the application of big data and machine
learning in the electrical power grid introduced through the emergence of the next …
learning in the electrical power grid introduced through the emergence of the next …
Application of artificial intelligence to wastewater treatment: A bibliometric analysis and systematic review of technology, economy, management, and wastewater …
Wastewater treatment is an important step for pollutant reduction and the promotion of water
environment quality. The complexity of natural conditions, influent shock, and wastewater …
environment quality. The complexity of natural conditions, influent shock, and wastewater …
COVID-19 pandemic prediction for Hungary; a hybrid machine learning approach
Several epidemiological models are being used around the world to project the number of
infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate …
infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate …
Applications of hybrid models in chemical, petroleum, and energy systems: A systematic review
Mathematical modeling and simulation methods are important tools in studying various
processes in science and engineering. In the current review, we focus on the applications of …
processes in science and engineering. In the current review, we focus on the applications of …
Applications of fuzzy logic in renewable energy systems–a review
In recent years, with the advent of globalization, the world is witnessing a steep rise in its
energy consumption. The world is transforming itself into an industrial and knowledge …
energy consumption. The world is transforming itself into an industrial and knowledge …
Renewable energy: Present research and future scope of Artificial Intelligence
SK Jha, J Bilalovic, A Jha, N Patel, H Zhang - Renewable and Sustainable …, 2017 - Elsevier
The existence of sunlight, air and other resources on earth must be used in an appropriate
way for human welfare while still protecting the environment and its living creatures. The …
way for human welfare while still protecting the environment and its living creatures. The …
Applications of neuro fuzzy systems: A brief review and future outline
This paper surveys neuro fuzzy systems (NFS) development using classification and
literature review of articles for the last decade (2002–2012) to explore how various NFS …
literature review of articles for the last decade (2002–2012) to explore how various NFS …
Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction
H Liu, H Tian, Y Li - Applied Energy, 2012 - Elsevier
Wind speed prediction is important to protect the security of wind power integration. The
performance of hybrid methods is always better than that of single ones in wind speed …
performance of hybrid methods is always better than that of single ones in wind speed …
Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks
H Liu, H Tian, D Pan, Y Li - Applied Energy, 2013 - Elsevier
Wind speed forecasting is important for the security of wind power integration. Based on the
theories of wavelet, wavelet packet, time series analysis and artificial neural networks, three …
theories of wavelet, wavelet packet, time series analysis and artificial neural networks, three …
Towards smart energy management for community microgrids: Leveraging deep learning in probabilistic forecasting of renewable energy sources
JJ Quiñones, LR Pineda, J Ostanek… - Energy Conversion and …, 2023 - Elsevier
The intermittent nature of renewable resources like solar and wind presents challenges for
small-scale energy markets and off-grid regions. Localized forecasting of these resources is …
small-scale energy markets and off-grid regions. Localized forecasting of these resources is …