Results 51 to 60 of about 128,623 (299)

Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation

FEBS Letters, EarlyView.
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe, Tanmay Kumar Mohanty, Rashna Bhandari, Dorothea Fiedler   +3 more
wiley   +1 more source

Short- and Very Short-Term Firm-Level Load Forecasting for Warehouses: A Comparison of Machine Learning and Deep Learning Models

Energies, 2022
Commercial buildings are a significant consumer of energy worldwide. Logistics facilities, and specifically warehouses, are a common building type which remain under-researched in the demand-side energy forecasting literature.
Andrea Maria N. C. Ribeiro, Pedro Rafael X. do Carmo, Patricia Takako Endo, Pierangelo Rosati, Theo Lynn   +4 more
doaj   +1 more source

An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting

, 2017
The key component in forecasting demand and consumption of resources in a supply network is an accurate prediction of real-valued time series. Indeed, both service interruptions and resource waste can be reduced with the implementation of an effective ...
Bianchi, Filippo Maria, Jenssen, Robert, Kampffmeyer, Michael C., Maiorino, Enrico, Rizzi, Antonello   +4 more
core   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

FEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li, Pedro A. Sánchez‐Murcia, Bernd Nidetzky   +2 more
wiley   +1 more source

Local Short Term Electricity Load Forecasting: Automatic Approaches

, 2017
Short-Term Load Forecasting (STLF) is a fundamental component in the efficient management of power systems, which has been studied intensively over the past 50 years. The emerging development of smart grid technologies is posing new challenges as well as
Bianchi, Filippo Maria, Dang-Ha, The-Hien, Olsson, Roland   +2 more
core   +1 more source

Short-term electric load forecasting using computational intelligence methods [PDF]

, 2013
Accurate time series forecasting is a key issue to support individual and organizational decision making. In this paper, we introduce several methods for short-term electric load forecasting. All the presented methods stem from computational intelligence
Cortez, Paulo, Jurado, Sergio, Mugica, Francisco, Nebot, Àngela, Peralta, J.   +4 more
core   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Research on short-term power load forecasting based on deep reinforcement learning with multiple intelligences

EAI Endorsed Transactions on Energy Web
A reliable supply of power systems is critical for industry, commerce, and residential life. Improving the accuracy and reliability of short-term electricity load forecasting plays a crucial role in ensuring the satisfaction of electricity demand and ...
Tianyun Luo, Dunlin Zhu, Jinming Liu, Sheng Yang, Jinglong He, Yuan Fu   +5 more
doaj   +1 more source

Peningkatan Akurasi dalam Prakiraan Beban Listrik Jangka Pendek Menggunakan Data Temperatur [PDF]

, 2017
Temperature changing has affected to the electrical load consumption. It has considered in the calculation of short-term load forecasting. In this study, ANFIS method was used to forecast short-term load using historical data of electrical load and ...
Al-Mutawakkil, I. (Imaad), Sukma, D. Y. (Dian)   +1 more
core  

Globalization for Scalable Short-term Load Forecasting

CoRR
63 pages with 22 ...
Amirhossein Ahmadi, Hamidreza Zareipour, Henry Leung   +2 more
openaire   +2 more sources