• Perspectives of optical colourimetric sensors for anaerobic digestion 

      Lamb, Jacob Joseph; Bernard, Olivier; Sarker, Shiplu; Lien, Kristian Myklebust; Hjelme, Dag Roar (Journal article; Peer reviewed, 2019)
      Although biogas is not a new approach to producing renewable fuel, it could further be developed to improve its potential as an alternative energy source. To achieve this, vast improvements in the efficiency and cost of ...
    • Review of control strategies for wave energy conversion systems and their validation: the wave-to-wire approach 

      Wang, Liguo; Isberg, Jan; Tedeschi, Elisabetta (Journal article; Peer reviewed, 2018)
      Ocean waves are a promising source of renewable energy. In this paper, we briefly introduce the characteristics of ocean wave energy and summarize the principles of harvesting ocean energy by wave energy converters. We ...
    • Review of wind generation within adequacy calculations and capacity markets for different power systems 

      Söder, Lennart; Tómasson, Egill; Estanqueiro, Ana; Flynn, Damian; Hodge, Bri-Mathias; Kiviluoma, Juha; Korpås, Magnus; Neau, Emmanuel; Couto, António; Pudjianto, Danny; Strbac, Goran; Burke, Daniel; Gómez, Tomás; Das, Kaushik; Cutululis, Nicolaos Antonio; Van Hertem, Dirk; Höschle, Hanspeter; Matevosyan, Julia; von Roon, Serafin; Carlini, Enrico Maria; Caprabianca, Mauro; de Vries, Laurens (Journal article; Peer reviewed, 2019)
      The integration of renewable energy sources, including wind power, in the adequacy assessment of electricity generation capacity becomes increasingly important as renewable energy generation increases in volume and replaces ...
    • Robust planning of distributed battery energy storage systems in flexible smart distribution networks: A comprehensive study 

      Bozorgavari, Seyed Aboozar; Aghaei, Jamshid; Pirouzi, Sasan; Nikoobakht, Ahmad; Farahmand, Hossein; Korpås, Magnus (Peer reviewed; Journal article, 2020)
      This paper presents a robust planning of distributed battery energy storage systems (DBESSs) from the viewpoint of distribution system operator (DSO) to increase the network flexibility. Initially, the deterministic model ...
    • A systematic review of machine learning techniques related to local energy communities 

      Hernandez-Matheus, Alejandro; Löschenbrand, Markus; Berg, Kjersti; Fuchs, Ida; Aragüés-Peñalba, Mònica; Bullich-Massagué, Eduard; Sumper, Andreas (Peer reviewed; Journal article, 2022)
      In recent years, digitalisation has rendered machine learning a key tool for improving processes in several sectors, as in the case of electrical power systems. Machine learning algorithms are data-driven models based on ...