4.7 Article

A point prediction method based automatic machine learning for day-ahead power output of multi-region photovoltaic plants

Related references

Note: Only part of the references are listed.
Article Energy & Fuels

Urban power load profiles under ageing transition integrated with future EVs charging

Haoran Zhang et al.

Summary: Understanding the fine-grained changes in electricity profile caused by ageing transition is crucial for managing future threats in grid flexibility. Research on hourly-basis knowledge gaps exists due to challenges in microanalysis of user behavior. Through the analysis of billions of users' data, it was found that population ageing leads to a decrease in participation in high electricity-density activities, resulting in a 14% difference between peak charging load and valley, and will significantly change the magnitude and shape of future dynamic load profiles. It is suggested to have comprehensive and quantitative management for PVs development and the smart charging market to deal with potential challenges caused by ageing.

ADVANCES IN APPLIED ENERGY (2021)

Article Green & Sustainable Science & Technology

Intra-day solar probabilistic forecasts including local short-term variability and satellite information

R. Alonso-Suarez et al.

RENEWABLE ENERGY (2020)

Article Energy & Fuels

State-of-the-art power electronics systems for solar-to-grid integration

Venkata R. Vakacharla et al.

SOLAR ENERGY (2020)

Article Engineering, Chemical

A data-driven method for pipeline scheduling optimization

Qi Liao et al.

CHEMICAL ENGINEERING RESEARCH & DESIGN (2019)

Article Computer Science, Hardware & Architecture

A Hybrid Intelligent System to forecast solar energy production

Nuno Basurto et al.

COMPUTERS & ELECTRICAL ENGINEERING (2019)

Article Green & Sustainable Science & Technology

A SARIMA-RVFL hybrid model assisted by wavelet decomposition for very short-term solar PV power generation forecast

Vishal Kushwaha et al.

RENEWABLE ENERGY (2019)

Article Green & Sustainable Science & Technology

Artificial neural network forecast of monthly mean daily global solar radiation of selected locations based on time series and month number

Chigbogu Godwin Ozoegwu

JOURNAL OF CLEANER PRODUCTION (2019)

Review Thermodynamics

A current perspective on the accuracy of incoming solar energy forecasting

Robert Blaga et al.

PROGRESS IN ENERGY AND COMBUSTION SCIENCE (2019)

Review Thermodynamics

Solar photovoltaic generation forecasting methods: A review

Sobrina Sobri et al.

ENERGY CONVERSION AND MANAGEMENT (2018)

Article Automation & Control Systems

A Novel Adaptive Neural Network Constrained Control for a Multi-Area Interconnected Power System With Hybrid Energy Storage

Dezhi Xu et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2018)

Article Automation & Control Systems

A new solar power output prediction based on hybrid forecast engine and decomposition model

Weijiang Zhang et al.

ISA TRANSACTIONS (2018)

Article Green & Sustainable Science & Technology

Short-term solar power forecasting considering cloud coverage and ambient temperature variation effects

Foad H. Gandoman et al.

RENEWABLE ENERGY (2018)

Article Green & Sustainable Science & Technology

Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information

Abinet Tesfaye Eseye et al.

RENEWABLE ENERGY (2018)

Article Engineering, Multidisciplinary

Solar photovoltaic power forecasting using optimized modified extreme learning machine technique

Manoja Kumar Behera et al.

ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH (2018)

Article Engineering, Marine

An improved PSO method for optimal design of subsea oil pipelines

Haoran Zhang et al.

OCEAN ENGINEERING (2017)

Article Energy & Fuels

Multi-site solar power forecasting using gradient boosted regression trees

Caroline Persson et al.

SOLAR ENERGY (2017)

Article Thermodynamics

Univariate and multivariate methods for very short-term solar photovoltaic power forecasting

Mashud Rana et al.

ENERGY CONVERSION AND MANAGEMENT (2016)

Article Green & Sustainable Science & Technology

Solar power output forecasting using evolutionary seasonal decomposition least-square support vector regression

Kuo-Ping Lin et al.

JOURNAL OF CLEANER PRODUCTION (2016)

Article Green & Sustainable Science & Technology

Day-ahead forecasting of solar power output from photovoltaic plants in the American Southwest

David P. Larson et al.

RENEWABLE ENERGY (2016)

Article Green & Sustainable Science & Technology

Day-ahead resource forecasting for concentrated solar power integration

Lukas Nonnenmacher et al.

RENEWABLE ENERGY (2016)

Article Energy & Fuels

2D-interval forecasts for solar power production

Mashud Rana et al.

SOLAR ENERGY (2015)