Results 81 to 90 of about 965,939 (262)

City Scale Demand Side Management in Three Different-Sized District Heating Systems

Energies, 2018
Demand side management can add flexibility to a district heating (DH) system by balancing the customer’s hourly fluctuating heat demand. The aim of this study is to analyze how different demand side management control strategies, implemented into ...
Kaisa Kontu, Jussi Vimpari, Petri Penttinen, Seppo Junnila   +3 more
doaj   +1 more source

Review of Waste Heat Utilisation from Data Centres [PDF]

, 2019
Rapidly increasing global internet traffic, mobile internet users and the number of Internet of Things (IoT) connections are driving exponential growth in demand for data centre and network services, which in turn is driving their electricity demand ...
Asthana, Abhishek, Sethuramalingam, Ramamoorthy, Weston, Peter   +2 more
core   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Exploring Heat Demand Forecasting in District Heating Networks Using Random Parameter Linear Regression Model

Environmental and Climate Technologies
Accurate forecasting of heat demand in district heating networks is essential for their efficient and sustainable operation. This paper presents a novel approach using a random parameter linear regression model to forecast heat demand, distinguishing ...
Ali Hesham, Dedov Andrei, Volkova Anna
doaj   +1 more source

Demand Response Design of Domestic Heat Pumps

Designs, 2017
This paper proposes an emergency-based demand response (DR) controller of domestic heat pump (DHP) units based on an estimated frequency of the UK electricity in 2035.
Mohammed Jasim M. Al Essa
doaj   +1 more source

Demand Forecasting for a Mixed-Use Building Using Agent-Schedule Information with a Data-Driven Model

Energies, 2020
There is great interest in data-driven modelling for the forecasting of building energy consumption while using machine learning (ML) modelling. However, little research considers classification-based ML models.
Zihao Li, Daniel Friedrich, Gareth P. Harrison   +2 more
doaj   +1 more source

The Demand for Information: More Heat than Light [PDF]

This paper produces a comprehensive theory of the value of Bayesian information and its static demand. Our key insight is to assume 'natural units' corresponding to the sample size of conditionally i.i.d. signals -- focusing on the smooth nearby model of
Giuseppe Moscarini, Jussi Keppo, Lones Smith   +2 more
core  

Performance of natural, exhaust, demand controlled exhaust and heat recovery residential ventilation systems as prescribed by the standards in 5 European countries [PDF]

, 2013
Over the last decades, residential ventilation standards have been integrated in most of the buildings codes of European countries. Contrarily to the consolidation effort in the development of the nonresidential ventilation standard EN 13779, most of the
Janssens, Arnold, Laverge, Jelle, Pollet, Ivan, Vens, Anneleen   +3 more
core   +1 more source

Design and Analysis of Novel Ge-GeTe PN Junction for Photovoltaics [PDF]

, 2016
The continuing rise in demand for energy places a similarly increasing demand to improve power production methods and efficiency. In regards to solar power generation, one major limiting factor with existing photovoltaic (PV) systems is the management of
Coutu, Ronald A., Jr., Jones, Andrew M., Lake, Robert A.   +2 more
core   +2 more sources

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

Molecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source