A heuristic-based approach for optimizing a small independent solar and wind hybrid power scheme incorporating load forecasting
Authors:
- Weiping ZhangWZWeiping Zhang
- Akbar MalekiAMAkbar Maleki
- Marc A. RosenMRMarc A. Rosen
- 1 December 2019
- journal article
- research article
- Published by Elsevier in Journal of Cleaner Production
- Vol. 241
Abstract
No abstract availableKeywords
This publication has 67 references indexed in Scilit:
- A modified particle swarm optimization algorithm for scheduling renewable generation in a micro-grid under load uncertaintyApplied Soft Computing, 2019
- A systems approach for management of microgrids considering multiple energy carriers, stochastic loads, forecasting and demand side responseApplied Energy, 2018
- Design and optimization of autonomous solar-wind-reverse osmosis desalination systems coupling battery and hydrogen energy storage by an improved bee algorithmDesalination, 2018
- An innovative integrated model using the singular spectrum analysis and nonlinear multi-layer perceptron network optimized by hybrid intelligent algorithm for short-term load forecastingApplied Mathematical Modelling, 2016
- Energy management in storage-augmented, grid-connected prosumer buildings and neighborhoods using a modified simulated annealing optimizationComputers & Operations Research, 2016
- Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealingApplied Energy, 2010
- Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancyIEEE Transactions on Pattern Analysis and Machine Intelligence, 2005
- Input feature selection for classification problemsIEEE Transactions on Neural Networks, 2002
- Optimal Power Flow Using Tabu Search AlgorithmElectric Power Components and Systems, 2002
- Future paths for integer programming and links to artificial intelligenceComputers & Operations Research, 1986