Results 71 to 80 of about 6,971,058 (303)

Short-term load forecasting based on a semi-parametric additive model [PDF]

open access: yes
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  

Short-term Electricity Price Forecasting Using Interpretable Hybrid Machine Learning Models

open access: yes, 2023
Short-term Electricity Price Forecasting Using Interpretable Hybrid Machine Learning ...
H Mubarak (15384749)   +10 more
core  

Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting

open access: yesAlexandria Engineering Journal, 2020
Short-term power load forecasting plays a key role in power supply systems. Many methods have been used in short-term power load forecasting during the past years. A new short-term power load forecasting method is proposed in this study. First, the study
Fei Wu   +3 more
doaj   +1 more source

Structure‐forward targeting of claudins with synthetic binders

open access: yesFEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Forecasts of U.S. short-term interest rates: a flexible forecast combination approach [PDF]

open access: yes
This paper develops a flexible approach to combine forecasts of future spot rates with forecasts from time-series models or macroeconomic variables.
Massimo Guidolin, Allan Timmerman
core  

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

open access: yesFEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang   +2 more
wiley   +1 more source

Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power Prediction

open access: yes, 2023
This article proposes a novel framework to improve the prediction accuracy of very short-term (5-min) wind power generation. The framework consists of complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), monarch butterfly ...
Gray, Evan   +20 more
core   +1 more source

Short-term forecasting of GDP using large monthly datasets: a pseudo real-time forecast evaluation exercise. [PDF]

open access: yes
This paper evaluates different models for the short-term forecasting of real GDP growth in ten selected European countries and the euro area as a whole.
Barhoumi, K.   +9 more
core   +2 more sources

Liver organoids: modelling complexity in homeostasis and disease

open access: yesFEBS Letters, EarlyView.
Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley   +1 more source

Short-Term Forecasting of Czech Quarterly GDP Using Monthly Indicators [PDF]

open access: yes
We evaluate the out-of-sample forecasting performance of six competing models at horizons of up to three quarters ahead in a pseudo-real time setup. All the models use information in monthly indicators released ahead of quarterly GDP.
Katerina Arnostova   +3 more
core   +2 more sources

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