Multitasking recurrent neural network for photovoltaic power generation prediction

Estimating the spatial distribution of solar photovoltaic power generation potential on different types of rural rooftops using a deep learning network applied to satellite images

(2022) Tao Sun et al.   APPLIED ENERGY

A Multi-step ahead photovoltaic power forecasting model based on TimeGAN, Soft DTW-based K-medoids clustering, and a CNN-GRU hybrid neural network

(2022) Qing Li et al.   Energy Reports

Short-term solar power forecasting: Investigating the ability of deep learning models to capture low-level utility-scale Photovoltaic system behaviour

(2021) A.A. du Plessis et al.   APPLIED ENERGY

Deep learning neural networks for short-term photovoltaic power forecasting

(2021) A. Mellit et al.   RENEWABLE ENERGY

The coordinated optimal design of a PV-battery system with multiple types of PV arrays and batteries: A case study of power smoothing

(2021) Yinghua Jiang et al.   JOURNAL OF CLEANER PRODUCTION

Evolutionary Multitask Optimization With Adaptive Knowledge Transfer

(2021) Hao Xu et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network

(2019) Shuang Han et al.   APPLIED ENERGY

A review of generation dispatch with large-scale photovoltaic systems

(2018) K. Nghitevelekwa et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

An overview of multi-task learning

(2017) Yu Zhang et al.   National Science Review

Short-term prediction of photovoltaic energy generation by intelligent approach

(2012) Stanley K.H. Chow et al.   ENERGY AND BUILDINGS