Short-term multi-energy load forecasting for integrated energy systems based on CNN-BiGRU optimized by attention mechanism

Prediction of solar energy guided by pearson correlation using machine learning

(2021) Imane Jebli et al.   ENERGY

A novel framework for carbon price prediction using comprehensive feature screening, bidirectional gate recurrent unit and Gaussian process regression

(2021) Jujie Wang et al.   Journal of Cleaner Production

Multi-energy load forecasting for regional integrated energy systems considering temporal dynamic and coupling characteristics

(2020) Shaomin Wang et al.   ENERGY

Spatiotemporal Feature Learning Based Hour-Ahead Load Forecasting for Energy Internet

(2020) Liufeng Du et al.   Electronics

Short-term photovoltaic power generation forecasting based on random forest feature selection and CEEMD: A case study

(2020) Dongxiao Niu et al.   APPLIED SOFT COMPUTING

An improved convolutional neural network with load range discretization for probabilistic load forecasting

(2020) Qian Huang et al.   ENERGY

Multi-step-ahead prediction of thermal load in regional energy system using deep learning method

(2020) Yakai Lu et al.   ENERGY AND BUILDINGS

Planning and operation method of the Regional Integrated Energy System considering economy and environment

(2019) Yongli Wang et al.   ENERGY

Game Theoretical Energy Management with Storage Capacity Optimization and Photo-Voltaic Cell Generated Power Forecasting in Micro Grid

(2019) Aqdas Naz et al.   Sustainability

Analysis of hourly cooling load prediction accuracy with data-mining approaches on different training time scales

(2019) Chengliang Fan et al.   Sustainable Cities and Society

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks

(2018) Aowabin Rahman et al.   APPLIED ENERGY

Analysing real world data streams with spatio-temporal correlations: Entropy vs. Pearson correlation

(2018) Maria Bermudez-Edo et al.   AUTOMATION IN CONSTRUCTION

A deep learning model for short-term power load and probability density forecasting

(2018) Zhifeng Guo et al.   ENERGY

Period-aware content attention RNNs for time series forecasting with missing values

(2018) Yagmur Gizem Cinar et al.   NEUROCOMPUTING

GHG-mitigation oriented and coal-consumption constrained inexact robust model for regional energy structure adjustment – A case study for Jiangsu Province, China

(2018) Ling Ji et al.   RENEWABLE ENERGY

On Better Exploring and Exploiting Task Relationships in Multitask Learning: Joint Model and Feature Learning

(2018) Ya Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Research on short-term and ultra-short-term cooling load prediction models for office buildings

(2017) Yan Ding et al.   ENERGY AND BUILDINGS

Investigation of the correlation of building energy use intensity estimated by six building performance simulation tools

(2017) Joon-Ho Choi   ENERGY AND BUILDINGS

The impact of environmental regulation on fossil energy consumption in China: Direct and indirect effects

(2017) Xiaoxiao Zhou et al.   JOURNAL OF CLEANER PRODUCTION

Forecasting China’s regional energy demand by 2030: A Bayesian approach

(2017) Xiao-Chen Yuan et al.   RESOURCES CONSERVATION AND RECYCLING

An overview of multi-task learning

(2017) Yu Zhang et al.   National Science Review

Electrical load forecasting models: A critical systematic review

(2017) Corentin Kuster et al.   Sustainable Cities and Society

Artificial neural network and SARIMA based models for power load forecasting in Turkish electricity market

(2017) Ömer Özgür Bozkurt et al.   PLoS One

Model for forecasting residential heat demand based on natural gas consumption and energy performance indicators

(2016) Alessandro Spoladore et al.   APPLIED ENERGY

Multitask Classification Hypothesis Space With Improved Generalization Bounds

(2015) Cong Li et al.   IEEE Transactions on Neural Networks and Learning Systems

Neural network model ensembles for building-level electricity load forecasts

(2014) Jorjeta G. Jetcheva et al.   ENERGY AND BUILDINGS

Impact of a large penetration of wind generation on the GB gas network

(2010) Meysam Qadrdan et al.   ENERGY POLICY