Results 171 to 180 of about 118,363 (278)

Investigation of energy storage batteries in stability enforcement of low inertia active distribution network [PDF]

, 2019
AK Srivastava, Andreas Ulbig, D Naimi, DM Greenwood, F Selwa, H Markiewicz, J Alipoor, JM Morales, K Heising, KI Jennett, M Patel, M Reza, N Pogaku, N Soni, P Kundur, P Kundur, PT Manditereza, R Sebastián, S Ayasun, S Eftekharnejad, SK Salman, T Sun, TS Ustun, Y Bian, Y Shi   +24 more
core   +1 more source

Optimization of Energy Efficiency in Photovoltaic Water Pumping Systems Using Neural Networks

Energy Science &Engineering, Volume 14, Issue 4, Page 2153-2181, April 2026.
This study investigates an optimal control strategy for a photovoltaic (PV) water pumping system aimed at improving efficiency and autonomy in off‐grid applications. The system uses an induction motor with direct torque control and compares three maximum power point tracking (MPPT) techniques: neural network–based MPPT, Incremental Conductance (IC ...
Sihem Ghoudelbourk, Habib Benbouhenni, Z. M. S. Elbarbary, Mohamed Benidir   +3 more
wiley   +1 more source

Combustion of Waste Rapeseed Oil and Jet Propellant‐8 Blends in a CI Engine

Energy Science &Engineering, Volume 14, Issue 4, Page 2248-2262, April 2026.
Using waste rapeseed oil (WRO) mixed with Jet Propellant‐8 (JP‐8) as fuel for a compression ignition engine. ABSTRACT The study examines the potential of blending waste rapeseed oil (WRO) with Jet Propellant‐8 (JP‐8) as a fuel for compression ignition (CI) engines.
Grzegorz Pawlak, Krzysztof Kosiuczenko, Patryk Płochocki, Mariusz Wesołowski, Jarosław Molenda, Tomasz Skrzek, Dominik Czerwonka   +6 more
wiley   +1 more source

Reduction of Hexavalent Chromium by Stenotrophomonas and Bacillus

MicrobiologyOpen, Volume 15, Issue 2, April 2026.
Stenotrophomonas and Bacillus remove toxic hexavalent chromium via enzymatic reduction and non‐enzymatic mechanisms. Reductases (e.g., ChrR, HhuH, YhdA, NfrA, Bcr005, NitR, AzoR) use NAD(P)H to convert Cr(VI) to the less toxic Cr(III). ABSTRACT Hexavalent chromium [Cr(VI)] is a widespread environmental pollutant, posing a significant health risk to ...
Ahmad Fadhlullah Husaini, Margaretta Christita, Rizal Maarif Rukmana, Arida Susilowati, Keni Vidilaseris   +4 more
wiley   +1 more source

A Method for Assessing the Risks to Sustainability Posed by Process Operations

Sustainable Development, Volume 34, Issue 2, Page 1719-1733, April 2026.
ABSTRACT We present a framework for assessing the risks to sustainability posed by any given set of processes. The objective is to improve sustainability by enabling better decision‐making in policy and business contexts. The framework can be applied to any system of processes where available information supports discovery and quantification of ...
Richard C. Darton, Colin J. Axon
wiley   +1 more source

Optimising hybrid renewable energy systems for remote tribal villages: A techno-economic case study from central and Eastern India. [PDF]

Sci Rep
Sekhar YR, Chiranjeevi C, Ravindra, Asif M, Hamida MBB, Syum GG.   +5 more
europepmc   +1 more source

Transient analysis of a hybrid microgrid system [PDF]

, 2012
Adamopoulou, Anastasia, Fruh, Wolf-Gerrit, Hatziapostolou, Antonis, Samarakou, Maria   +3 more
core  

A Review of Human–AI Synergy in Smart Energy Management Concepts, Functions, Applications, and Future Frontiers

Energy Internet, Volume 3, Issue 1, Page 5-22, April 2026.
ABSTRACT Smart energy management systems (EMS) are entering a phase of rapid transformation. Artificial intelligence (AI)—including machine learning (ML), deep learning (DL), and reinforcement learning (RL)—has become the computational backbone for real‐time forecasting, scheduling, and control of renewable‐rich power systems.
Sihai An, Jing Qiu, Jiafeng Lin, Zhe Yuan, Weiyi Tian, Zongyu Yao   +5 more
wiley   +1 more source

Global‐Scale Analysis of Biochar Cropland Application Strategies and Their Climate Change Mitigation Potential Using Machine Learning

GCB Bioenergy, Volume 18, Issue 4, April 2026.
Machine learning models predicted crop yield and soil greenhouse gas responses to biochar application, with soil and climate conditions identified as dominant factors. Global simulations and life cycle assessment quantified spatially optimized strategies and mitigation potential.
Xingyu Lu, Xiaolin Zhang, Junyu Yang, Fengping Chen   +3 more
wiley   +1 more source

Adaptive reinforcement learning framework for sustainable microgrid optimization in arid urban environments. [PDF]

Sci Rep
Mohamed MAS, Almazam K, Alzahrani M, Majrashi AA, Garo OO, Lagebo ML.   +5 more
europepmc   +1 more source