EnergiesShort-term load is influenced by multiple external factors and shows strong nonlinearity and volatility, which increases the forecasting difficulty. However, most of existing short-term load forecasting methods rely solely on the original load data or ...
Bao Wang +5 more
doaj +1 more source
An Attention-Based Multilayer GRU Model for Multistep-Ahead Short-Term Load Forecasting†. [PDF]
Sensors (Basel), 2021 Jung S, Moon J, Park S, Hwang E.
europepmc +1 more source
Short-term load forecasting based on a semi-parametric additive model [PDF]
Short-term load forecasting is an essential instrument in power system planning, operation and control. Many operating decisions are based on load forecasts, such as dispatch scheduling of generating capacity, reliability analysis, and maintenance ...
Rob Hyndman, Shu Fan
core
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
The Short-Term Load Forecasting Using an Artificial Neural Network Approach with Periodic and Nonperiodic Factors: A Case Study of Tai'an, Shandong Province, China. [PDF]
Comput Intell Neurosci, 2021 Sun J, Dong H, Gao Y, Fang Y, Kong Y.
europepmc +1 more source
Validity of a Wearable Digital Insole for Assessing Gait ON and OFF in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Gait impairment is a distinctive symptom of Parkinson's disease that negatively impact mobility. We assessed the validity of wearable digital insoles against a validated reference gait analysis system for measuring select gait characteristics in patients with Parkinson's disease. Methods A comparative analysis between digital insoles
Deborah A. Hall +16 more
wiley +1 more source
MODE – REGRESSION BASED MODEL FOR SHORT TERM LOAD FORECASTING
Yanbu Journal of Engineering and Science, 2021 Ahmad Al-Subhi, Chokri Belhadj Ahmad
doaj +1 more source
Factor Affecting Short Term Load Forecasting [PDF]
Journal of Clean Energy Technologies, 2014 Muhammad Usman Fahad, Naeem Arbab
openaire +1 more source
Location‐Specific Hematoma Volume Predicts Early Neurological Deterioration in Supratentorial ICH
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Early neurological deterioration (END) adversely affects outcomes in patients with intracerebral hemorrhage (ICH). This study aimed to determine the location‐specific hematoma volumes for END in supratentorial ICH patients. Methods We retrospectively analyzed supratentorial ICH patients presenting from two prospective cohorts.
Zuoqiao Li +10 more
wiley +1 more source
Short-term load estimation based on improved DBN-LSTM
Sustainable Energy ResearchAiming at the rapid change and low forecasting accuracy of short-term power load forecasting, a forecasting model based on the improved deep belief network and long short-term memory network is proposed.
Nan Dong +3 more
doaj +1 more source