Results 61 to 70 of about 361,649 (320)
Study on the residential load profiles in Brunei Darussalam based on income and location
Energy Reports, 2023 Brunei Darussalam has the highest electricity consumption per capita among Southeast Asian countries. This high electricity consumption dramatically contributes to environmental issues because gas is the primary source of energy generation in Brunei ...
Nuramanina Hamdani +3 more
doaj +1 more source
Deep learning‐based household electric energy consumption forecasting [PDF]
The Journal of Engineering, 2020 With the advent of various electronic products, the household electric energy consumption is continuously increasing, and therefore it becomes very important to predict the household electric energy consumption accurately. Energy prediction models also have been developed for decades with advanced machine learning technologies.
Jonghwan Hyeon +3 more
openaire +1 more source
Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production
Advanced Functional Materials, EarlyView.Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen +4 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco +8 more
wiley +1 more source
Intelligent Electricity Consumption Prediction for Smart Home Based on BiLSTM-Attention
International Journal of Distributed Sensor NetworksWith the rapid development of artificial intelligence (AI) and the broad deployment of the Internet of Things (IoT), the smart grid as a novel grid has become an essential power management system.
Qinghai Li, Li Zhu, Minghu Zha, Tao Hu
doaj +1 more source
International Journal of Sustainable Energy Planning and Management, 2015 Albania’s residential sector represents a large share of the country’s energy consumption, especially of electric power. Other important characteristics of the sector include fast growing energy demand and a high level of energy losses, which challenge ...
Flamur Bidaj +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.The integration of photovoltaic (PV) systems into building structures introduces distinct fire risks with critical implications for occupant safety. This review examines the key fire hazards associated with PV implementation and explores mitigation strategies, including flame‐retardant additives.
Florian Ollagnon +7 more
wiley +1 more source
Energies, 2021 We examine the energy use impacts of energy efficiency and solar PV projects financed by residential property assessed clean energy (R-PACE) programs in California.
Jeff Deason +2 more
doaj +1 more source
Does Information Lead to Household Electricity Conservation? [PDF]
, 2012 This paper estimates the effect of information on residential electricity consumption. Household reading expenditure, education level of the household head, and state “green” electricity pricing program participation rate represent the probability that a
Kristiansen, Devon M
core +1 more source
Electricity Demand and Basic Needs: Empirical Evidence from China's Households [PDF]
, 2014 An increasing block tariff (IBT) has been implemented nationwide in the residential sector in China since July 2012 as part of a process towards liberalizing electricity prices.
He, X., Reiner, D.
core +2 more sources