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Application of optimized photovoltaic grid-connected control system based on modular multilevel converters
Photovoltaic power generation is a promising method for generating electricity with a wide range of applications and development potential. It...
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A study on the placement of photovoltaic units in the North and South of Vietnam for energy loss reduction by using a proposed slime mould algorithm
In this paper, the impact of rated power and the total capacity of all photovoltaic units on the energy loss reduction of radial distribution...
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Spatiotemporal Renewable Energy Techniques and Applications
This chapter provides an overview of the field of spatiotemporal data analysis in the context of renewable energy applications. With the increasing...
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Backstep** Control of Air-Handling Unit for Indoor Temperature Regulation
The control of indoor temperature has significant importance to maintain excellent thermal comfort and energy saving. At present, indoor temperature...
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A Simulation-Optimization Approach for the Household Energy Planning Problem Considering Uncertainty in Users Preferences
Power supply is one of the basic needs in modern smart homes. Computer-aid tools help optimizing energy utilization, contributing to sustainable...
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Optimal design and development of a microgrid for off-grid rural communities
In this paper, planning, optimization and analysis of an Islanded microgridhas been presented for rural community of India. Daily load profile of...
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Adaptive Monitoring Optimization Based on Deep-Q-Network for Energy Harvesting Wireless Sensor Networks
In order to improve the energy efficiency of environmental monitoring for energy harvesting wireless sensor networks (EH-WSNs) in remote areas and...
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An Efficient Model for Forecasting Renewable Energy Using Ensemble LSTM Based Hybrid Chaotic Atom Search Optimization
Recently, energy storage systems are transformed into an emerging field that gains considerable interest in renewable energy mitigation and...
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Deep Learning for Solar Irradiance Nowcasting: A Comparison of a Recurrent Neural Network and Two Traditional Methods
This paper aims to improve short-term forecasting of clouds to accelerate the usability of solar energy. It compares the Convolutional Gated...
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Learning with deep Gaussian processes and homothety in weather simulation
Observations and numerical prediction models are the main methods for measuring and estimating the earth's energy balance parameters. However, the...
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Performance Analysis of a Direct-Expansion Solar-Assisted Heat Pump Using a Photovoltaic/Thermal System for Water Heating
This work presents the performance of a direct-expansion solar-assisted heat pump (DX-SAHP) to supply 60 L per day of domestic hot water. The...
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A new MPPT design using PV-BES system using modified sparrow search algorithm based ANFIS under partially shaded conditions
Nowadays, due to the increasing interest in renewable energy, modeling and practical research on Photovoltaic (PV) have been given much attention....
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GLUE analysis of meteorological-based crop coefficient predictions to derive the explicit equation
The crop coefficient ( K c ) is a scaling factor to calculate crop evapotranspiration ( ET c ). Accurate prediction of K c affects planning to allocate...
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A two-stage energy management framework for optimal scheduling of multi-microgrids with generation and demand forecasting
With the increasing impact of renewable energy sources in distribution power systems, the short-term scheduling of microgrids is facing many...
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System for Monitoring and Warning of the Ultraviolet Radiation Index: A Study Case in Ecuador Elementary Schools
Solar ultraviolet (UV) radiation has increased in recent years due to ozone layer depletion and in Ecuador in particular, due to its geographical...
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Investigation of Power Line Sag Uncertainty in Day-Ahead DLR Forecast Models
Dynamic line rating method (DLR) is a novel and cost-effective way to extend power overhead lines (OHLs) transfer capacity based on real-time...
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An Info-Biological Theory Approach to Computer-Aided Architectural Design: UnSSEUS
In Computer-Aided Architectural Design (CAAD), generative and predictive methods are two major practices. This paper discusses how an information...
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Quantum Fields: The Building Blocks of Reality
The beginning of the 20th century, more specifically 1930s Europe, witnessed the dawn of arguably one of the greatest theories in human history:...
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Assessment of Hydrologic Flux from the Haldi Catchment into Hooghly Estuary, India
Monitoring the impact of hydrologic flux from river basin toward the coastal environment is useful for assessment of terrestrial impacts on coastal...
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Resources, the Environment and Energy Security: Unpacking the Challenge of Blackouts
One of the areas of care for environmental protection is the reduction of greenhouse gases. The production of electricity primarily based on...