Results 291 to 300 of about 1,874,987 (370)

Deep learning-driven hybrid model for short-term load forecasting and smart grid information management. [PDF]

Sci Rep
Wen X, Liao J, Niu Q, Shen N, Bao Y.
europepmc   +1 more source

The Smart Grid Network : Summary and reccomendations [PDF]

, 2011
Dorthe Vinther, Peter Dreyer, Anders Troi, Lars Aagaard, John Tang, Søren-Peter Nielsen, Anna-Grethe Hjortkjær, Andreea Balasiu, Hans J. Høyer, Jørgen Abildgaard, Claus Madsen, Bent Ole Jonsen, Maja Felicia Bendtsen, Pia Grynderup, Jens Hørup Jensen, Sune Strøm, Kim Normann Andersen, Tom Togsverd, Hans Peter Slente, Jacob Østergaard, Birger Hauge, Maria Hillingsøe Stubberup, Martin Salamon, O. Poulsen, Regnar Schultz   +24 more
openalex  

Smart Grid Solutions That Pay You

, 2011
Ron Dizy
openalex   +2 more sources

Artificial intelligence‐assisted design, synthesis and analysis of smart biomaterials

BMEMat, EarlyView.
Smart biomaterials are rapidly emerging as tools for tissue engineering, and artificial intelligence has played essential roles in biomaterial studies. By bridging the literature gap in AI‐based design, synthesis and analysis of smart biomaterials, the current review shares perspectives on how biomaterial scientists can practically incorporate AI for ...
Pengfei Jiang, Yefei Dai, Yujun Hou, Joshua Stein, Shichen Steven Lin, Chaochen Zhou, Yannan Hou, Rongrong Zhu, Ki‐Bum Lee, Letao Yang   +9 more
wiley   +1 more source

Big data analytics and artificial intelligence aspects for privacy and security concerns for demand response modelling in smart grid: A futuristic approach. [PDF]

Heliyon
Reka SS, Dragicevic T, Venugopal P, Ravi V, Rajagopal MK.   +4 more
europepmc   +1 more source

Sustainable Decision‐Making in SMEs of the Textile Industry: Integrating Methodologies, Practices, and Barriers

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite its economic importance, the textile industry is one of the most polluting sectors. This study addresses the critical gap in understanding sustainable decision‐making in textile SMEs, where decision processes often remain informal and lack structured frameworks.
Israel Naranjo, Rocío de la Torre, Andres Boza   +2 more
wiley   +1 more source

Digital Technologies: Description, Classification, and Links to Circular Economy

Business Strategy and the Environment, EarlyView.
ABSTRACT Digital technologies (DTs) and circular economy (CE) are currently two topics that are expected to contribute significantly to sustainable development, and digitization is generally considered a key enabler of CE. However, most studies only cover the most known Industry 4.0 technologies, and very limited research detailing how DTs can support ...
Laura Piedra‐Muñoz, Eva M. García‐Granero, Raphael Ricardo Zepon Tarpani, Alejandro Gallego‐Schmid   +3 more
wiley   +1 more source

A comprehensive review of recent developments in smart grid through renewable energy resources integration. [PDF]

Heliyon
Ohanu CP, Rufai SA, Oluchi UC.
europepmc   +1 more source

The Stock Market's Anticipation of the Trump 2024 Election: The Case of Sustainable Business Models

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the impact of green revenues on US stock price reactions around Donald Trump's 2024 election win. Firms' green revenue share (GRS) is significantly associated with negative cumulative abnormal returns (CARs) post‐election, exhibiting a nonlinear effect that intensifies at higher GRS levels.
Dennis Koch, Dirk Schiereck
wiley   +1 more source