Machine learning-based digital district heating/cooling with renewable integrations and advanced low-carbon transition

Y Zhou, S Zheng, JLM Hensen - Renewable and Sustainable Energy …, 2024 - Elsevier
Intermittent power production with hybrid storages, dynamic grids' interactions for synergistic
complementation, advanced energy management, optimal design and robust operation are …

Carbon neutrality in the Finnish energy sector: prospects for a fossil‐fuel phase out

S Proskurina - Biofuels, Bioproducts and Biorefining, 2024 - Wiley Online Library
The Finnish government has set a target of reaching carbon neutrality by 2035 and
renewable energy is playing an increasingly important role in the Finnish energy sector …

[HTML][HTML] Seasonal hydrogen storage for sustainable renewable energy integration in the electricity sector: A case study of Finland

AM Elberry, J Thakur, J Veysey - Journal of Energy Storage, 2021 - Elsevier
Wind power is rapidly growing in the Finnish grid, and Finland's electricity consumption is
low in the summer compared to the winter. Hence, there is a need for storage that can …

Promising MPPT methods combining metaheuristic, fuzzy-logic and ANN techniques for grid-connected photovoltaic

MN Ali, K Mahmoud, M Lehtonen, MMF Darwish - Sensors, 2021 - mdpi.com
This paper addresses the improvement of tracking of the maximum power point upon the
variations of the environmental conditions and hence improving photovoltaic efficiency …

Robust design of ANFIS-based blade pitch controller for wind energy conversion systems against wind speed fluctuations

M Elsisi, MQ Tran, K Mahmoud, M Lehtonen… - IEEE …, 2021 - ieeexplore.ieee.org
Wind speed fluctuations and load demand variations represent the big challenges against
wind energy conversion systems (WECS). Besides, the inefficient measuring devices and …

Comparative study of data-driven and model-driven approaches in prediction of nuclear power plants operating parameters

H Song, X Liu, M Song - Applied Energy, 2023 - Elsevier
Nuclear energy plays a crucial role in mitigating climate change as a near carbon-free and
clean energy source. Predicting operating parameters is key to the digitalization and …

Power generation mix and electricity price

T Stringer, M Joanis, S Abdoli - Renewable Energy, 2024 - Elsevier
Electricity prices are influenced by the composition of the power generation mix. Firms that
operate in sectors that are energy-intensive, such as manufacturing, metallurgy or oil and …

Proposed ANFIS based approach for fault tracking, detection, clearing and rearrangement for photovoltaic system

AF Bendary, AY Abdelaziz, MM Ismail, K Mahmoud… - Sensors, 2021 - mdpi.com
In the last few decades, photovoltaics have contributed deeply to electric power networks
due to their economic and technical benefits. Typically, photovoltaic systems are widely …

[HTML][HTML] Is the energy transition ready for declining budgets in RD&D for fossil fuels? Evidence from a panel of European countries

DP Macedo, AC Marques - Journal of Cleaner Production, 2023 - Elsevier
To meet their climate targets, European countries have sought to move from fossil fuels to
clean energy. Some of the major elements in this energy transition have involved cutting …

Waste heat recovery from a data centre and 5G smart poles for low-temperature district heating network

A Khosravi, T Laukkanen, V Vuorinen, S Syri - Energy, 2021 - Elsevier
Abstract The city of Espoo, Finland is planning to develop Kera as a green suburb with high
level of energy efficiency and low CO2 emissions, using a high share of renewable energy …