Использование технологий искусственного интеллекта в энергетике и климатической безопасности

Настоящее исследование посвящено теоретическому анализу использования и прикладного применения искусственного интеллекта (ИИ) в энергетическом секторе в приложении к климатической безопасности.

Объектом исследования выступает энергетика и климатическая безопасность как виды экономической деятельности и общественной активности.

Предметом исследования является искусственный интеллект применительно к объектной области исследования.

Цель исследования —  создание обоснованных научных оснований для использования искусственного интеллекта в энергетике, а также выявления возникающих проблем в формировании научно обоснованного подхода к разработке климатической политики.

Исследование авторов включает три взаимосвязанных методологии исследования: тематическое моделирование, интеллектуальный анализ текста в рамках качественного анализа и объектное моделирование в рамках систематизации результатов, адекватных предметной области исследования и соответствия их действительности. Кроме того, авторы дополнили количественные результаты теоретико-эвристическим анализом научных результатов других исследователей. Используется концепция параметрической оптимизации (ПО) в качестве эффективного метода для решения прикладной задачи проверки гипотезы управления энергозатратами и энергоэффективностью на основе ИИ с целью достижения оптимальных показателей работы технической системы и соответствия целям устойчивого развития (ЦУР) в области климатической безопасности.

Результаты исследования свидетельствуют о том, что ИИ становится основополагающим фактором для развития современного энергетического сектора, основанного на данных и сложных взаимосвязях и предоставляет инструменты для повышения производительности технических систем и эффективности в условиях санкционных ограничений.

Доказана истинность гипотезы, что использование ИИ в качестве управляющего контура обратной связи на техническом объекте очистки и генерации энергии является более экономически эффективной и технически оптимальной альтернативой «живому» оператору, что позволит исключить человеческий фактор ошибки. В связи с этим энергетическая отрасль, коммунальные предприятия, операторы энергосистем и независимые производители электроэнергии должны уделять особое внимание внедрению технологий ИИ в существующие технические системы.

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