Results 91 to 100 of about 137,935 (294)
The Load Forecasting Technology in the Electric Power Distribution System
The authors proposed a method for creating a prediction model for dynamically predicting the load curve in a power distribution system whose composition varied day by day, and then validated its effectiveness for comparisons with measured current values.
Tsuneyo Sano +2 more
openaire +2 more sources
A regulatory axis involving APE1, AUF1, and miR‐221 is proposed. Pri‐miR‐221 is processed by DROSHA and DICER to generate mature miR‐221, which targets p27Kip1 mRNA. APE1 and AUF1 compete for pre‐miR‐221 binding. Reduced APE1/AUF1 levels impair miR‐221 biogenesis, decrease p27Kip1 mRNA degradation, and promote cell cycle progression, chemoresistance ...
Matilde Clarissa Malfatti +3 more
wiley +1 more source
Anchorage‐independent and faster growth in clonal population from UV‐irradiated NER‐deficient cells
UV‐irradiated cells expressing a DDB2 mutant protein unable to interact with PCNA (DDB2PCNA‐) form clones able to grow without anchorage. Different experimental approaches reveal heterogeneity in cell cycle regulation and drug response within these clones, emphasizing the crucial role of the DDB2‐PCNA interaction in preventing cellular transformation ...
Paola Perucca +6 more
wiley +1 more source
Promiscuous stimulation of HSP70 ATPase activity by parasite‐derived J‐domains
The malaria parasite Plasmodium falciparum exports three highly homologous yet functionally divergent J‐domain proteins into human erythrocytes. Here, we show that J‐domains isolated from all three proteins effectively stimulate the ATPase activity of both endogenous host and exported parasite HSP70 chaperones.
Julian Barth +6 more
wiley +1 more source
Compared to the load characteristics of normal working days, weekend load characteristics have a low level of load and are sensitive to meteorological conditions, which influences the accuracy of short-term weekend-load forecasting. To solve this problem
Bin Li +3 more
doaj +1 more source
Improving Short-Term Electricity Price Forecasting Using Day-Ahead LMP with ARIMA Models
Short-term electricity price forecasting has become important for demand side management and power generation scheduling. Especially as the electricity market becomes more competitive, a more accurate price prediction than the day-ahead locational ...
Miller, Carol +3 more
core +1 more source
MiR‐513a promotes human erythroid differentiation by modulating c‐Jun
During early human erythropoiesis, miR‐513a promoted erythroid differentiation in primary human CD34+ hematopoietic stem‐progenitor cells and human TF‐1 erythroleukemic cells by indirectly decreasing c‐Jun and phospho‐c‐Jun expression, which are associated with increased GATA1 expression.
MinJung Kim +11 more
wiley +1 more source
INTRODUCTION: The complexity of the power network, changes in weather conditions, diverse geographical locations, and holiday activities comprehensively affect the normal operation of power loads.
Mengfan Xu, Junyang Pan
doaj +1 more source
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
Forecasting peak load electricity demand using statistics and rule based approach [PDF]
Problem statement: Forecasting of electricity load demand is an essential activity and an important function in power system planning and development.
Ismail, Zuhaimy +2 more
core

