Results 81 to 90 of about 649,385 (296)
FORECASTING SPOT ELECTRICITY PRICES WITH TIME SERIES MODELS [PDF]
In this paper we study simple time series models and assess their forecasting performance. In particular we calibrate ARMA and ARMAX (where the exogenous variable is the system load) processes.
Adam Misiorek, Rafal Weron
core
Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics
FEBS Open Bio, EarlyView.Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini +2 more
wiley +1 more source
Modeling and forecasting electricity loads: A comparison [PDF]
In this paper we study two statistical approaches to load forecasting. Both of them model electricity load as a sum of two components – a deterministic (representing seasonalities) and a stochastic (representing noise).
Adam Misiorek, Rafal Weron
core
ASEAN grid flexibility: Preparedness for grid integration of renewable energy [PDF]
, 2019 In 2015, ASEAN established a goal of increasing its renewable energy share in its energy portfolio from approximately 13–23% by 2025. Renewable electricity, especially intermittent and variable sources, presents challenges for grid operators due to the ...
Huang, YW, Kammen, DM, Kittner, N
core +1 more source
Analysis of Treacher Collins syndrome 4‐associated mutations in Schizosaccharomyces pombe
FEBS Open Bio, EarlyView.Fission yeast models carrying Treacher Collins syndrome type 4‐associated mutations reveal that impaired processivity of RNA polymerase I leads to defective rRNA transcription. This study highlights the essential role of a conserved arginine residue in Pol I elongation and provides mechanistic insight into the pathogenesis of ribosomopathies.
Kei Kawakami, Hiroaki Kato
wiley +1 more source
Combining Probabilistic Load Forecasts
, 2018 Probabilistic load forecasts provide comprehensive information about future load uncertainties. In recent years, many methodologies and techniques have been proposed for probabilistic load forecasting.
Hong, Tao +5 more
core +1 more source
Digital Twin for Power Load Forecasting
Abstract In this work, a novel Digital Twin model using attention mechanism integrated with LSTM to forecast the future power load of a specific user is developed. The power load prediction research is done in detail by taking into account important factors such as temperature, humidity, and the price of electricity.
Zhijun Wang +3 more
openaire +1 more source
FEBS Open Bio, EarlyView.KLK7, a tissue kallikrein‐related peptidase, is elevated in advanced colorectal cancer and associated with shorter survival. High KLK7 levels in ascites correlate with peritoneal metastasis. In mice, KLK7 overexpression increases metastasis. In vitro, KLK7 enhances cancer cell proliferation, migration, adhesion, and spheroid formation, driving ...
Yosr Z. Haffani +6 more
wiley +1 more source
FEBS Open Bio, EarlyView.NF90–NF45 functions as a negative regulator of methyltransferase‐like 3/14 (METTL3/14)‐mediated N6‐methyladenosine (m6A) modification on primary microRNAs (pri‐miRNAs). NF90–NF45 binds to anti‐oncogenic pri‐miRNAs and inhibits their m6A modification, thereby suppressing the biogenesis of anti‐oncogenic miRNAs.
Takuma Higuchi +6 more
wiley +1 more source
Forecasting wholesale electricity prices: A review of time series models [PDF]
In this paper we assess the short-term forecasting power of different time series models in the electricity spot market. We calibrate autoregression (AR) models, including specifications with a fundamental (exogenous) variable - system load, to ...
Weron, Rafal
core +1 more source