Renewable Energy and Environmental Sustainability

An Open Access journal publishing innovative papers in Renewable Energy

This journal has just been launched and is now open for submission.

Sustainable energy systems for the future

Open Access

Short-term forecasting of individual household electricity loads with investigating impact of data resolution and forecast horizon

Baran Yildiz, Jose I. Bilbao, Jonathon Dore and Alistair B. Sproul

Renew. Energy Environ. Sustain., 3 (2018) 3

Published online: 29 May 2018

DOI: https://doi.org/10.1051/rees/2018003
Open Access

Green infrastructure and low energy architecture for eco-tourism in Asinara island

Antonella Trombadore, Dusan Rolovic and Pier Paolo Congiatu

Renew. Energy Environ. Sustain., 3 (2018) 2

Published online: 23 May 2018

DOI: https://doi.org/10.1051/rees/2018002
Open Access

Utilization of air conditioner condenser as water heater in an effort to energy conservation

Hery Sonawan, Panji Saputro and Iden Muhtar Kurniawan

Renew. Energy Environ. Sustain., 3 (2018) 1

Published online: 09 April 2018

DOI: https://doi.org/10.1051/rees/2018001
Sustainable energy systems for the future

Open Access

Cradle to grave GHG emissions analysis of shale gas hydraulic fracking in Western Australia

Sangita Bista, Philip Jennings and Martin Anda

Renew. Energy Environ. Sustain., 2 (2017) 45

Published online: 16 October 2017

DOI: https://doi.org/10.1051/rees/2017014
Sustainable energy systems for the future

Open Access

Influence of occupancy on building energy performance: a case study from social housing dwellings in Perth, Western Australia

Parisa Esmaeilimoakher, Tania Urmee, Trevor Pryor and Garry Baverstock

Renew. Energy Environ. Sustain., 2 (2017) 44

Published online: 13 October 2017

DOI: https://doi.org/10.1051/rees/2017018

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328	Sustainable energy systems for the future Open Access A review on technology maturity of small scale energy storage technologies Thu-Trang Nguyen, Viktoria Martin, Anders Malmquist and Carlos A.S. Silva Renew. Energy Environ. Sustain., 2 (2017) 36 Published online: 19 September 2017 DOI: https://doi.org/10.1051/rees/2017039 Full HTML PDF (516.1 KB) ePUB (1.093 MB) References
260	Open Access Demand and residual demand modelling using quantile regression Linh Phuong Catherine Do, Lars Ivar Hagfors, Kuan-Heng Lin and Peter Molnár Renew. Energy Environ. Sustain., 1 (2016) 41 Published online: 08 September 2016 DOI: https://doi.org/10.1051/rees/2016045 Full HTML PDF (988.2 KB) ePUB (1.621 MB) References
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Renewable Energy and Environmental Sustainability

Short-term forecasting of individual household electricity loads with investigating impact of data resolution and forecast horizon

Green infrastructure and low energy architecture for eco-tourism in Asinara island

Utilization of air conditioner condenser as water heater in an effort to energy conservation

Cradle to grave GHG emissions analysis of shale gas hydraulic fracking in Western Australia

Influence of occupancy on building energy performance: a case study from social housing dwellings in Perth, Western Australia

Solar and wind forecasting by NARX neural networks

A review on technology maturity of small scale energy storage technologies

Wind lens technology and its application to wind and water turbine and beyond

Demand and residual demand modelling using quantile regression

Green infrastructure and low energy architecture for eco-tourism in Asinara island

Solar and wind forecasting by NARX neural networks

Wind lens technology and its application to wind and water turbine and beyond

A review on technology maturity of small scale energy storage technologies

Demand and residual demand modelling using quantile regression

Short-term solar forecasting based on sky images to enable higher PV generation in remote electricity networks

Solar and wind forecasting by NARX neural networks

Wind lens technology and its application to wind and water turbine and beyond

A review on technology maturity of small scale energy storage technologies

Demand and residual demand modelling using quantile regression

Investigation of In–48Sn as a phase change material candidate for thermal storage applications

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