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Renewable energy targets and unintended storage cycling: Implications for energy modeling

(2022) Martin Kittel et al.   iScience

A novel method to detect the early warning signal of COVID-19 transmission

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Quantifying information of intracellular signaling: progress with machine learning

(2022) Ying Tang et al.   REPORTS ON PROGRESS IN PHYSICS

An adaptive hybrid ensemble with pattern similarity analysis and error correction for short-term load forecasting

(2022) Abderrezak Laouafi et al.   APPLIED ENERGY

Random vector functional link neural network based ensemble deep learning for short-term load forecasting

(2022) Ruobin Gao et al.   EXPERT SYSTEMS WITH APPLICATIONS

Time series change detection using reservoir computing networks for remote sensing data

(2022) Lan Song et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

An overview of deterministic and probabilistic forecasting methods of wind energy

(2022) Yuying Xie et al.   iScience

K-means clustering algorithms: A comprehensive review, variants analysis, and advances in the era of big data

(2022) Abiodun M. Ikotun et al.   INFORMATION SCIENCES

Predicting local COVID-19 outbreaks and infectious disease epidemics based on landscape network entropy

(2021) Rui Liu et al.   Science Bulletin

N-BEATS neural network for mid-term electricity load forecasting

(2021) Boris N. Oreshkin et al.   APPLIED ENERGY

Intra-Hour Irradiance Forecasting Techniques for Solar Power Integration: A Review

(2021) Yinghao Chu et al.   iScience

An interval decomposition-ensemble approach with data-characteristic-driven reconstruction for short-term load forecasting

(2021) Dongchuan Yang et al.   APPLIED ENERGY

A novel hybrid load forecasting framework with intelligent feature engineering and optimization algorithm in smart grid

(2021) Ghulam Hafeez et al.   APPLIED ENERGY

A novel short-term load forecasting framework based on time-series clustering and early classification algorithm

(2021) Zhe Chen et al.   ENERGY AND BUILDINGS

Hybrid Multitask Multi-Information Fusion Deep Learning for Household Short-Term Load Forecasting

(2021) Lianjie Jiang et al.   IEEE Transactions on Smart Grid

Distribution grid impacts of electric vehicles: A California case study

(2021) Alan Jenn et al.   iScience

State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

(2021) Xing Shu et al.   iScience

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

Embedding and approximation theorems for echo state networks

(2020) Allen Hart et al.   NEURAL NETWORKS

Tailoring Echo State Networks for Optimal Learning

(2020) Pau Vilimelis Aceituno et al.   iScience

Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation

(2020) Pei Chen et al.   Nature Communications

A hybrid load forecasting model based on support vector machine with intelligent methods for feature selection and parameter optimization

(2020) Yeming Dai et al.   APPLIED ENERGY

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(2020) Tianhan Gao et al.   iScience

Determine the Number of Unknown Targets in Open World Based on Elbow Method

(2020) Fan Liu et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Sequential grid approach based support vector regression for short-term electric load forecasting

(2019) Youlong Yang et al.   APPLIED ENERGY

Smart grid load forecasting using online support vector regression

(2018) Petra Vrablecová et al.   COMPUTERS & ELECTRICAL ENGINEERING

Short term load forecasting based on feature extraction and improved general regression neural network model

(2018) Yi Liang et al.   ENERGY

Short-term load forecasting method based on fuzzy time series, seasonality and long memory process

(2017) Hossein Javedani Sadaei et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN

(2017) Heng Shi et al.   IEEE Transactions on Smart Grid

Evolutionary predator and prey strategy for global optimization

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PINNING IMPULSIVE STABILIZATION OF NONLINEAR DYNAMICAL NETWORKS WITH TIME-VARYING DELAY

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