Aleksandrs Gavrilovs
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Aleksandrs Gavrilovs has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Anna Mutule
Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
1 shared publication - Darja Mihaila
Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
1 shared publication - Irina Antoskova
Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
1 shared publication - Olegs Borscevskis
Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
1 shared publication - Roberts Lazdins
Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
1 shared publication
Latest Publications
- Top Cited PapersOpen Access
- 11 February 2026
- Published by MDPI AG in Sustainability
- Vol. 18 (4) , 1858
Synergy Between Demand Flexibility and Energy Communities: A Literature Review
Energy communities (EnCs) are increasingly promoted as a means to support the decentralisation of energy systems and the integration of renewable energy sources, yet lack popularity and wide adoption. At the same time, demand flexibility is an important mechanism that can support EnCs by bringing additional benefits. Nonetheless, these concepts are often addressed separately or incoherently in policy and research, so the benefits of integrating them remain unclear. This paper aims to bridge these concepts and analyse their interaction. First, it sets the context by analysing legal and policy developments and the research landscape. It presents a systematic literature review of recent peer-reviewed publications, consolidating findings across three thematic areas: benefits and challenges for EnC members and system operators, approaches to enhance flexibility, and enabling factors, such as technical issues and data availability. The paper also outlines suggestions where further research is required to better understand and operationalise demand flexibility at the community level. The review shows that demand flexibility can significantly enhance the economic, environmental, and system-level benefits of EnCs but its integration remains fragmented and uneven. In particular, the complex interactions between internal and external incentives, stakeholder perspectives, technologies, and data availability are still insufficiently explored.
- 11 February 2026
- Published by MDPI AG in Sustainability
- Vol. 18 (4) , 1858
Top Cited PapersOpen AccessSynergy Between Demand Flexibility and Energy Communities: A Literature Review
Energy communities (EnCs) are increasingly promoted as a means to support the decentralisation of energy systems and the integration of renewable energy sources, yet lack popularity and wide adoption. At the same time, demand flexibility is an important mechanism that can support EnCs by bringing additional benefits. Nonetheless, these concepts are often addressed separately or incoherently in policy and research, so the benefits of integrating them remain unclear. This paper aims to bridge these concepts and analyse their interaction. First, it sets the context by analysing legal and policy developments and the research landscape. It presents a systematic literature review of recent peer-reviewed publications, consolidating findings across three thematic areas: benefits and challenges for EnC members and system operators, approaches to enhance flexibility, and enabling factors, such as technical issues and data availability. The paper also outlines suggestions where further research is required to better understand and operationalise demand flexibility at the community level. The review shows that demand flexibility can significantly enhance the economic, environmental, and system-level benefits of EnCs but its integration remains fragmented and uneven. In particular, the complex interactions between internal and external incentives, stakeholder perspectives, technologies, and data availability are still insufficiently explored.