Short‐term photovoltaic power forecasting using hybrid contrastive learning and temporal convolutional network under future meteorological information absence

Relative margin induced support vector ordinal regression

(2023) Fa Zhu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Constraint-weighted support vector ordinal regression to resist constraint noises

(2023) Fa Zhu et al.   INFORMATION SCIENCES

Hybrid Modeling Based Co-Optimization of Crew Dispatch and Distribution System Restoration Considering Multiple Uncertainties

(2021) Jiayong Li et al.   IEEE Systems Journal

Neighborhood linear discriminant analysis

(2021) Fa Zhu et al.   PATTERN RECOGNITION

Probabilistic forecasting with temporal convolutional neural network

(2020) Yitian Chen et al.   NEUROCOMPUTING

PV power prediction in a peak zone using recurrent neural networks in the absence of future meteorological information

(2020) Donghun Lee et al.   RENEWABLE ENERGY

Multilocation Human Activity Recognition via MIMO-OFDM-Based Wireless Networks: An IoT-Inspired Device-Free Sensing Approach

(2020) Yi Zhong et al.   IEEE Internet of Things Journal

Exploring the effects of a building retrofit to improve energy performance and sustainability: A case study of Korean public buildings

(2019) Joohyun Lee et al.   Journal of Building Engineering

A hybrid deep learning model for short-term PV power forecasting

(2019) Pengtao Li et al.   APPLIED ENERGY

Data-Driven Probabilistic Net Load Forecasting With High Penetration of Behind-the-Meter PV

(2018) Yi Wang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Hybrid method for short-term photovoltaic power forecasting based on deep convolutional neural network

(2018) Haixiang Zang et al.   IET Generation Transmission & Distribution

Short-term power prediction for photovoltaic power plants using a hybrid improved Kmeans-GRA-Elman model based on multivariate meteorological factors and historical power datasets

(2018) Peijie Lin et al.   ENERGY CONVERSION AND MANAGEMENT

Unsupervised Clustering-Based Short-Term Solar Forecasting

(2018) Cong Feng et al.   IEEE Transactions on Sustainable Energy

Assessing energy forecasting inaccuracy by simultaneously considering temporal and absolute errors

(2017) Laura Frías-Paredes et al.   ENERGY CONVERSION AND MANAGEMENT

Comparison of prediction methods of photovoltaic power system production using a measured dataset

(2017) Hussein A. Kazem et al.   ENERGY CONVERSION AND MANAGEMENT

Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power

(2017) S. Leva et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

A review of technical issues on the development of solar photovoltaic systems

(2017) C. Lupangu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset

(2016) Ravinesh C. Deo et al.   APPLIED ENERGY

Comparison of different physical models for PV power output prediction

(2015) Alberto Dolara et al.   SOLAR ENERGY