Heat pumps and our low-carbon future: A comprehensive review

AS Gaur, DZ Fitiwi, J Curtis - Energy Research & Social Science, 2021 - Elsevier
Addressing the growing concerns of climate change necessitates the decarbonisation of
energy sectors globally. Heating is the largest energy end-use, accounting for almost half of …

Modeling of photovoltaic power generation and electric vehicles charging on city-scale: A review

M Shepero, J Munkhammar, J Widén… - … and Sustainable Energy …, 2018 - Elsevier
Photovoltaics (PV) and electric vehicles (EVs) are promising technologies for increasing
energy efficiency and the share of renewable energy sources in power and transport …

Electricity consumer characteristics identification: A federated learning approach

Y Wang, IL Bennani, X Liu, M Sun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Nowadays, smart meters are deployed in millions of residential households to gain
significant insights from fine-grained electricity consumption data. The information extracted …

Wind and solar power integration in electricity markets and distribution networks through service-centric virtual power plants

D Koraki, K Strunz - IEEE Transactions on Power Systems, 2017 - ieeexplore.ieee.org
A virtual power plant (VPP) is formulated and developed as a service-centric aggregator that
enables the market integration of distributed energy resources and simultaneously supports …

What drives the profitability of household PV investments, self-consumption and self-sufficiency?

V Bertsch, J Geldermann, T Lühn - Applied Energy, 2017 - Elsevier
Many countries introduced subsidy schemes that were successful in incentivising
investments into residential solar PV. The resulting growth of the global PV market was …

[HTML][HTML] Federated-WDCGAN: A federated smart meter data sharing framework for privacy preservation

Z Chen, J Li, L Cheng, X Liu - Applied Energy, 2023 - Elsevier
Energy consumption data are crucial for various smart energy management applications,
such as demand forecasting, customer segmentation, and energy efficiency analysis …

[HTML][HTML] Energy data generation with wasserstein deep convolutional generative adversarial networks

J Li, Z Chen, L Cheng, X Liu - Energy, 2022 - Elsevier
Residential energy consumption data and related sociodemographic information are critical
for energy demand management, including providing personalized services, ensuring …

Unraveling electricity consumption profiles in households through clusters: Combining smart meters and door-to-door surveys

JP Gouveia, J Seixas - Energy and buildings, 2016 - Elsevier
Improvements of energy efficiency and reduction of Electricity Consumption (EC) could be
pushed by increased knowledge on consumption profiles. This paper contributes to a …

Open data and energy analytics-An analysis of essential information for energy system planning, design and operation

M Manfren, B Nastasi, D Groppi, DA Garcia - Energy, 2020 - Elsevier
Energy transitions are reshaping global and national energy systems and appropriate
decision-making strategies are needed to drive an effective change in response to pressing …

An empirical analysis of domestic electricity load profiles: Who consumes how much and when?

G Trotta - Applied Energy, 2020 - Elsevier
With the increased share of renewables in power generation, end users play a key role in
keeping the demand at levels that better match variable supply, maintaining lower overall …