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A method for optimizing the location of wind farms
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.enpol.2005.03.004openalex-snapshot
A geographic analysis of wind turbine placement in Northern California
inferredcites →https://doi.org/10.1016/j.epsr.2003.12.006openalex-snapshot
Heuristic methods for wind energy conversion system positioning
inferredcites →https://doi.org/10.1016/j.neucom.2006.05.017openalex-snapshot
An evolutive algorithm for wind farm optimal design
inferredcites →https://doi.org/10.1016/j.renene.2004.05.007openalex-snapshot
Placement of wind turbines using genetic algorithms
inferredcites →https://doi.org/10.1016/j.renene.2006.03.011openalex-snapshot
A GIS/PSS planning tool for the initial grid connection assessment of renewable generation
inferredcites →https://doi.org/10.1016/j.renene.2007.03.028openalex-snapshot
Promotion of new wind farms based on a decision support system
inferredcites →https://doi.org/10.1016/j.renene.2007.09.004openalex-snapshot
Optimal placement of wind turbines in a wind park using Monte Carlo simulation
inferredcites →https://doi.org/10.1016/j.renene.2008.02.011openalex-snapshot
Development of a decision support system for setting up a wind energy policy across the Walloon Region (southern Belgium)
inferredcites →https://doi.org/10.1016/j.rser.2013.03.059openalex-snapshot
Review of computer-aided numerical simulation in wind energy
inferredcites →https://doi.org/10.1016/s0960-1481(00)00169-5openalex-snapshot
Developing and applying a GIS-assisted approach to locating wind farms in the UK
inferredcites →https://doi.org/10.1016/s0960-1481(98)00006-8openalex-snapshot
Evaluation of Renewable Energy potential using a GIS decision support system
inferredcites →https://doi.org/10.22004/ag.econ.122353openalex-snapshot
Natural Gas, Wind and Nuclear Options for Generating Electricity in a Carbon Constrained World
inferredcites →https://doi.org/10.5860/choice.40-2191openalex-snapshot
Wind energy explained: theory, design and application
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Assessment of Wind Energy Farming in the Desert Landscape of Zarafshan Valley, Uzbekistan
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GIS-based weighted overlay model for wind and solar farm locating in Sri Lanka
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A robust, resilience multi-criteria decision-making with risk approach: a case study for renewable energy location
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Strategic wind farm placement for improved voltage stability and active power loss reduction using reactive power sensitivity analysis
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Machine learning meets mathematical optimization to predict the optimal production of offshore wind parks
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Wind power idle capacity in a panel of European countries
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Wind energy assessment considering geographic and environmental restrictions in Sweden: A GIS-based approach
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A machine learning approach for modeling irregular regions with multiple owners in wind farm layout design
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A preliminary assessment of wind generated hydrogen production potential to reduce the gasoline fuel used in road transport sector of Sweden
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Optimal investment in electric generating capacity under climate policy
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A novel hybrid neutrosophic-fuzzy-uncertain data envelopment analysis model for assessment of wind farm locations
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Factors in determining wind farm location: Integrating GQM, fuzzy DEMATEL, and ANP
inferred← citeshttps://doi.org/10.1016/j.renene.2015.04.029openalex-snapshot
A new constraint handling method for wind farm layout optimization with lands owned by different owners
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Electric energy generation from small-scale solar and wind power in Brazil: The influence of location, area and shape
inferred← citeshttps://doi.org/10.1016/j.renene.2021.10.027openalex-snapshot
Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments
inferred← citeshttps://doi.org/10.1016/j.rser.2013.03.059openalex-snapshot
Review of computer-aided numerical simulation in wind energy
inferred← citeshttps://doi.org/10.1016/j.rser.2015.10.029openalex-snapshot
The exploitation of electricity production projects from Renewable Energy Sources for the social and economic development of remote communities. The case of Greece: An example to avoid
inferred← citeshttps://doi.org/10.1080/14786451.2018.1437160openalex-snapshot
Investigation of wind farm location planning by considering budget constraints
inferred← citeshttps://doi.org/10.1109/access.2020.2984901openalex-snapshot
Placement Optimization for Renewable Energy Sources: Ontology, Tools, and Wake Models
inferred← citeshttps://doi.org/10.1109/eeeic.2019.8783505openalex-snapshot
Short-Term Ensemble NWP Wind Speed Forecasts using Mean-Variance Portfolio Optimization and Neural Networks
inferred← citeshttps://doi.org/10.1109/eeeic.2019.8783958openalex-snapshot
Optimised Geographical Allocation of Wind Energy Capacity using a Mean-Variance Portfolio Algorithm for Clustered and Un-clustered Profiles
inferred← citeshttps://doi.org/10.1109/icamimia54022.2021.9807812openalex-snapshot
Selection of Wind Farm Locations using AHP and TOPSIS Methods (Case Study: Cilacap Regency)
inferred← citeshttps://doi.org/10.1109/icpes47639.2019.9105541openalex-snapshot
Optimal Siting of Wind Energy Capacity for Minimum Residual Load Variance
inferred← citeshttps://doi.org/10.1109/irsec.2018.8702968openalex-snapshot
Analysis of Wind Data and Wind Energy Potential of the East of Mohammedia, Morocco
inferred← citeshttps://doi.org/10.1109/isitia.2016.7828718openalex-snapshot
Wind farm site selection base on fuzzy analytic hierarchy process method; Case study area Nganjuk
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Understanding the Link Between Policy Design and Distributional Impacts of Local Wind Energy Ordinances
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Spatial Multi-Criteria Decision Analysis Tool Suite for Consensus-Based Siting of Renewable Energy Structures
inferred← citeshttps://doi.org/10.1146/annurev-resource-091115-022544openalex-snapshot
The Economics of Wind Power
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Exploring of Wind Energy Potential and Optimal Site Selection for Wind Energy Plants Installations in Erzurum/Turkey Based on Multicriteria Site Selection
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Competing for space? A multi-criteria scenario framework intended to model the energy–biodiversity–land nexus for regional renewable energy planning based on a German case study
inferred← citeshttps://doi.org/10.22004/ag.econ.122353openalex-snapshot
Natural Gas, Wind and Nuclear Options for Generating Electricity in a Carbon Constrained World
inferred← citeshttps://doi.org/10.3390/en16031234openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/su16031074openalex-snapshot
Research on Wind Turbine Location and Wind Energy Resource Evaluation Methodology in Port Scenarios
inferred← citeshttps://doi.org/10.35595/2414-9179-2024-1-30-179-192openalex-snapshot
Suitability assessment of wind energy farming in the desert landscape of Zarafshan Valley, Uzbekistan
inferred← citeshttps://doi.org/10.48550/arxiv.2103.09781openalex-snapshot
Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments
inferred← citeshttps://doi.org/10.5204/thesis.eprints.102912openalex-snapshot
Numerical Optimization of Wind Farm Layout and Control Strategy
inferred← citeshttps://doi.org/10.6084/m9.figshare.26609547openalex-snapshot
Additional file 1 of Competing for space? A multi-criteria scenario framework intended to model the energy–biodiversity–land nexus for regional renewable energy planning based on a German case study
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