Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
An overview of numerical and mathematical modelling-based distributed generation (DG)
system optimisation techniques is presented in this review paper. The objective is to …
system optimisation techniques is presented in this review paper. The objective is to …
Transfer learning for short-term wind speed prediction with deep neural networks
Q Hu, R Zhang, Y Zhou - Renewable Energy, 2016 - Elsevier
As a type of clean and renewable energy source, wind power is widely used. However,
owing to the uncertainty of wind speed, it is essential to build an accurate forecasting model …
owing to the uncertainty of wind speed, it is essential to build an accurate forecasting model …
Wind speed prediction using a univariate ARIMA model and a multivariate NARX model
Two on step ahead wind speed forecasting models were compared. A univariate model was
developed using a linear autoregressive integrated moving average (ARIMA). This method's …
developed using a linear autoregressive integrated moving average (ARIMA). This method's …
Disaggregation of home energy display data using probabilistic approach
M Zeifman - IEEE Transactions on Consumer Electronics, 2012 - ieeexplore.ieee.org
Home energy displays are emerging home energy management devices. Their energy
saving potential is limited, because most display whole-home electricity consumption data …
saving potential is limited, because most display whole-home electricity consumption data …
Recent developments of ocean environmental description with focus on uncertainties
EM Bitner-Gregersen, SK Bhattacharya… - Ocean …, 2014 - Elsevier
A review of the recent progress made regarding ocean environmental data and models with
uncertainties in focus is given in the perspective of marine structures׳ design and operations …
uncertainties in focus is given in the perspective of marine structures׳ design and operations …
A novel hybrid (Mycielski-Markov) model for hourly solar radiation forecasting
Short term solar radiation forecasting is significant for the operation of big installations and
the electrical grid. There are many short term forecasting techniques in the literature. In this …
the electrical grid. There are many short term forecasting techniques in the literature. In this …
Multi-layer cooperative combined forecasting system for short-term wind speed forecasting
J Wang, Q Li, B Zeng - Sustainable Energy Technologies and Assessments, 2021 - Elsevier
Short-term wind speed forecasting is crucial to enhance the operational efficiency and
increase the economic benefit of wind power generation systems. A substantial number of …
increase the economic benefit of wind power generation systems. A substantial number of …
Hybrid boosting algorithms and artificial neural network for wind speed prediction
Energy sources are an important foundation for national economic growth. The future of
energy sources depend on the energy controls. The reserves of fossil energy have declined …
energy sources depend on the energy controls. The reserves of fossil energy have declined …
Stochastic approach for daily solar radiation modeling
FO Hocaoğlu - Solar Energy, 2011 - Elsevier
Mathematical modeling of solar radiation continues to be an important issue in renewable
energy applications. In general, existing models are mostly empirical and data dependent. In …
energy applications. In general, existing models are mostly empirical and data dependent. In …
Advanced wind speed prediction model based on a combination of weibull distribution and an artificial neural network
One of the most crucial prerequisites for effective wind power planning and operation in
power systems is precise wind speed forecasting. Highly random fluctuations of wind …
power systems is precise wind speed forecasting. Highly random fluctuations of wind …