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Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data
Electricity generated from renewable energy sources has been established as an efficient remedy for both energy shortages and the environmental pollution stemming from conventional energy production methods.
Deep Learning for Energy Time-Series Analysis and Forecasting
Energy time-series analysis describes the process of analyzing past energy observations and possibly external factors so as to predict the future.
Potential UAV Landing Sites Detection through Digital Elevation Models Analysis
Quantitative performance evaluation of the proposed landing site detection algorithm in a number of areas on real world and synthetic datasets, accompanied by a comparison with a state-of-the-art algorithm, proves its efficiency and superiority.
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