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Optimal power flow for an integrated wind-solar-hydro-thermal power system considering uncertainty of wind speed and solar radiation
This paper proposes two solution methods with the help of metaheuristic algorithms to reduce the electricity generation costs of power plants in an...
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Development of Estimation Techniques for Solar Radiation, NDVI and Net Primary Productivity
Net Primary Productivity (NPP) is a fundamental ecological metric that underpins the functioning of ecosystems. NPP estimation using the...
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LORAP: Local Deep Neural Network for Solar Radiation Prediction
Solar radiation directly affects human health and the surrounding environment. Therefore, scientists are paying much attention to this aspect to...
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Global scale solar energy harnessing: An advanced intra-hourly diffuse solar irradiance predicting framework for solar energy projects
Diffuse horizontal irradiance (DHI) forecasts are critical for adopting solar photovoltaic technology. Yet, they can lack reliability given the...
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Long-term prediction of daily solar irradiance using Bayesian deep learning and climate simulation data
Solar Irradiance depicts the light energy produced by the Sun that hits the Earth. This energy is important for renewable energy generation and is...
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Prediction of Solar Radiation Using Neural Networks Forecasting
Solar radiation and wind data play an important role in renewable energy projects to produce electricity. In Ecuador, these data are not always...
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Plus-profile energy harvested prediction and adaptive energy management for solar-powered wireless sensor networks
Wireless sensor networks (WSNs) are mostly used for monitoring the environment; however, they are usually powered by non-rechargeable batteries with...
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Deep Learning Based Framework for Forecasting Solar Panel Output Power
Energy Harvesting from diverse renewable energy sources has experienced rapid growth due to the adverse environmental impacts of using fossil fuels....
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PVSyst enabled real time evaluation of grid connected solar photovoltaic system
This research paper delves into the simulation of the power generation analysis of a 5 MWp solar photovoltaic (PV) plant using the design and...
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A novel solar power prediction model based on stacked BiLSTM deep learning and improved extreme learning machine
Photovoltaic (PV) energy is a renewable and permanent source of electricity available all the time. Nowadays, the solar energy integration presents...
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Hybrid deep learning models for time series forecasting of solar power
Forecasting solar power production accurately is critical for effectively planning and managing renewable energy systems. This paper introduces and...
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Intelligent Solar Irradiance Forecasting Using Hybrid Deep Learning Model: A Meta-Heuristic-Based Prediction
Solar PhotoVoltaic is one among the majority of key techniques for moving away from fossil fuels and toward renewable energy. Solar prediction is an...
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Self-operation and low-carbon scheduling optimization of solar thermal power plants with thermal storage systems
Photo thermal power generation, as a renewable energy technology, has broad development prospects. However, the operation and scheduling of photo...
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Local-global methods for generalised solar irradiance forecasting
For efficient operation, solar power operators often require generation forecasts for multiple sites with varying data availability. Many proposed...
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AI-based solar energy forecasting for smart grid integration
Integrating solar energy power into the existing grid system is a challenging task due to the volatile and intermittent nature of this power. Robust...
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Solar Radiation Estimation in Mediterranean Climate by Weather Variables Using a Novel Bayesian Model Averaging and Machine Learning Methods
The present study investigated the potential of new ensemble method, Bayesian model averaging (BMA), in modeling monthly solar radiation based on...
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Power Prediction of Solar Photovoltaic Power Generation Based on Matrix Algorithm
Photovoltaic power generation is affected by complex and changeable weather conditions, which has the characteristics of volatility and...
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Forecasting System for Solar-Power Generation
Environmental protection is a highly concerned and thought-provoking issue, and the way of generating electricity has become a major conundrum for...
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A novel parameter identification strategy based on COOT optimizer applied to a three-diode model of triple cation perovskite solar cells
The remarkable optoelectronic characteristics of hybrid metal halide perovskite semiconductors, such as high defect tolerance, extended carrier...
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