Results 21 to 30 of about 8,037,671 (250)
DEEP LEARNING MODELS FOR NATURAL GAS DEMAND FORECASTING: A COMPARATIVE STUDY OF MLP, CNN AND LSTM [PDF]
This study aims to investigate the use of various deep learning techniques to predict future residential natural gas consumption in Italy, with a particular emphasis on the correlation between gas consumption and temperature.
Artemis Aidoni +3 more
doaj +1 more source
Forecasting natural gas consumption in a cement plant – a case study [PDF]
This study aims to investigate the forecasting of natural gas consumption in a cement plant in Rio de Janeiro, amidst the transition from the regulated to the open natural gas market, contextualized in the Brazil’s “new gas law” policies.
Nicholas De Marco Reckman +1 more
doaj +1 more source
Deep learning for spatio‐temporal supply and demand forecasting in natural gas transmission networks
Germany is the largest market for natural gas in the European Union, with an annual consumption of approx. 95 billion cubic meters. The German high‐pressure gas pipeline network's length is roughly 40 000 km, which enables highly fluctuating quantities ...
Milena Petkovic +2 more
doaj +1 more source
Coordinated Planning of Electricity/gas/storage Distribution Network Based on LSTM and Demand Response [PDF]
This paper presents a collaborative planning method of an electricity-gas-storage regional integrated energy system based on LSTM neural network and demand response.
Xu Yongming +5 more
doaj +1 more source
Natural gas is a fossil fuel that has been widely used for various purposes, including residential and industrial applications. The combustion of natural gas, despite being more environmentally friendly than other fossil fuels such as petroleum, yields ...
Georgios I. Tsoumalis +3 more
doaj +1 more source
This paper proposes a profit optimization method for the natural gas industry chain driven by demand forecasting. The method mainly consists of two core components: the construction of a natural gas demand forecasting model and the solution of an ...
Fangkai Shen +6 more
doaj +1 more source
Energy demand and production forecasting in Pakistan
Pakistan has been in severe energy crises since the year 2004. Major reasons behind energy crises are lack of use of modeling tools in power planning and policy development, dependence on imported energy sources and poor governance.
Muhammad Amir Raza +6 more
doaj +1 more source
[Objective] Factors impacting the demand of natural gas vary across regions in China, resulting in distinct data characteristics within corresponding datasets. The availability of adequate sample data for long-term forecasting is limited.
LIU Zhen +4 more
doaj +1 more source
Importin 7 mediates the nuclear import of HIV‐1 integrase via a specific interacting interface
HIV‐1 integrase enables viral DNA integration into the host genome. By binding to the core domain of the host protein Importin 7 via its C‐terminal domain, the integrase is transported across the nuclear membrane into the nucleus, where integration of the viral genome into host DNA takes place. This translocation is a critical step for subsequent viral
Juana Bana +5 more
wiley +1 more source
Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas +6 more
wiley +1 more source

